# drafts

name: w3c-UAAG20-Reference
rev: 00
time: 20151215
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:35:53.738465+00:00
source: w3c
source_id: UAAG20-Reference
source_url: https://www.w3.org/WAI/UA/UAAG20-Reference/
doc_status: Note
title:
  UAAG 2.0 Reference: Explanations, Examples, and Resources for User Agent Accessibility Guidelines 2.0

abstract:
  This document provides explanation of the intent of UAAG 2.0 success criteria, examples of implementation of the UAAG 2.0 guidelines, best practice recommendations and additional resources for the guidelines.


name: w3c-agent-attributes
rev: 00
title: Client-Specific Web Services by Using User Agent Attributes
time: 19971230
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:35:53.741796+00:00
source: w3c
source_id: agent-attributes
source_url: https://api.w3.org/specifications/agent-attributes/versions/19971230
doc_status: Note
abstract:
  This document describes a simple framework for realizing client-specific web services. The proposed method uses the client properties such as screen size and colors, available input methods, web page capacity, secondary storage size, product category, CPU type, and etc., which we call "User Agent Attributes". We also describe an implementation of this framework by using the User-Agent header in HTTP. This enables the client-specific services for various Internet information appliances like Internet-TVs, PDAs, and smart phones.


name: w3c-imagemap
rev: 00
title: Imagemapped Images and Image-Incapable User Agents
time: 19961127
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:35:53.745112+00:00
source: w3c
source_id: imagemap
source_url: https://api.w3.org/specifications/imagemap/versions/19961127
doc_status: Note
abstract:
  This memo discusses appropriate handling of documents containing imagemapped images in cases where the user-agent cannot display or otherwise process inline images. Typical examples where this is so are (i) text-only browsers such as lynx, text-to-speech or braille browsers; (ii) graphical browsers with disabled image loading; or (iii) information-gathering robots that do not retrieve or process inlined image files.


name: draft-duda-dnsop-dns-did
rev: 00
title: A DNS-Based Framework for Privacy-Preserving Identity
time: 2026-03-03T00:36:50Z
group_uri: /api/v1/group/group/1027/
expires: 2026-09-04T00:36:50Z
states: ["/api/v1/doc/state/1/", "/api/v1/doc/state/150/"]
categories: ["Agent identity/auth", "Policy/governance", "Autonomous netops"]
tags: []
fetched_at: 2026-03-08T15:14:54.116698+00:00
source: ietf
abstract:
  This document presents a framework for privacy-preserving identity
     management based on DNS, supporting large-scale management of users,
     IoT devices, and AI agents.  It introduces Self-Certifying
     Identifiers (SIDs), User/Service Trustees as trusted proxies, and
     leverages DNSSEC-secured TXT records to bind public keys to
     identities.  The framework enables privacy-by-design, where real
     identities are hidden behind trusted entities, through privacy-
     preserving intermediarie.  Credentials bound to SIDs support role-
     based access control, while ephemeral tokens ensure short-lived
     authorization.  Although initially DNS-dependent, the model can
     extend to other directories like DIDs or IPFS.  This approach aligns
     with zero-trust architectures and supports automated, AI-driven
     interactions in future networks.

full_text:
  DNSOP                                                            A. Duda
  Internet-Draft                                             M. Korczynski
  Intended status: Informational                                 O. Hureau
  Expires: 3 September 2026  Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG
                                                                  J. Zhang
                                                                 H. Labiod
                                       Huawei Technologies France S.A.S.U.
                                                              2 March 2026


           A DNS-Based Framework for Privacy-Preserving Identity
                        draft-duda-dnsop-dns-did-00

  Abstract

     This document presents a framework for privacy-preserving identity
     management based on DNS, supporting large-scale management of users,
     IoT devices, and AI agents.  It introduces Self-Certifying
     Identifiers (SIDs), User/Service Trustees as trusted proxies, and
     leverages DNSSEC-secured TXT records to bind public keys to
     identities.  The framework enables privacy-by-design, where real
     identities are hidden behind trusted entities, through privacy-
     preserving intermediarie.  Credentials bound to SIDs support role-
     based access control, while ephemeral tokens ensure short-lived
     authorization.  Although initially DNS-dependent, the model can
     extend to other directories like DIDs or IPFS.  This approach aligns
     with zero-trust architectures and supports automated, AI-driven
     interactions in future networks.

  Status of This Memo

     This Internet-Draft is submitted in full conformance with the
     provisions of BCP 78 and BCP 79.

     Internet-Drafts are working documents of the Internet Engineering
     Task Force (IETF).  Note that other groups may also distribute
     working documents as Internet-Drafts.  The list of current Internet-
     Drafts is at https://datatracker.ietf.org/drafts/current/.

     Internet-Drafts are draft documents valid for a maximum of six months
     and may be updated, replaced, or obsoleted by other documents at any
     time.  It is inappropriate to use Internet-Drafts as reference
     material or to cite them other than as "work in progress."

     This Internet-Draft will expire on 3 September 2026.






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  Copyright Notice

     Copyright (c) 2026 IETF Trust and the persons identified as the
     document authors.  All rights reserved.

     This document is subject to BCP 78 and the IETF Trust's Legal
     Provisions Relating to IETF Documents (https://trustee.ietf.org/
     license-info) in effect on the date of publication of this document.
     Please review these documents carefully, as they describe your rights
     and restrictions with respect to this document.  Code Components
     extracted from this document must include Revised BSD License text as
     described in Section 4.e of the Trust Legal Provisions and are
     provided without warranty as described in the Revised BSD License.

  Table of Contents

     1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
     2.  Framework for DNS-Based Identity  . . . . . . . . . . . . . .   2
     3.  Self-Certifying Identifiers, Credentials, and Ephemeral
             Tokens  . . . . . . . . . . . . . . . . . . . . . . . . .   4
     4.  DNS as a Public Directory of Identifiers  . . . . . . . . . .   5
     5.  DNS-Based Identities for Agents . . . . . . . . . . . . . . .   6
     6.  Conclusions . . . . . . . . . . . . . . . . . . . . . . . . .   7
     7.  Security Considerations . . . . . . . . . . . . . . . . . . .   7
     8.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .   7
     9.  Acknowledgements  . . . . . . . . . . . . . . . . . . . . . .   7
     10. Normative References  . . . . . . . . . . . . . . . . . . . .   7
     Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .   7

  1.  Introduction

     In this draft, we present a framework for Privacy-Preserving Identity
     Management based on DNS supporting large scale management of users,
     IoT devices, or AI agents.  It defines new entities involved in
     Identity Management, specifies Self-Certifying Identifiers based on
     public keys, and offers public keys stored in DNS as trust anchors.
     This design draws inspiration from the architecture of Decentralized
     Identifiers (DIDs) [W3C.DID-Core], particularly in the use of
     cryptographic derivation of identifiers, though this document focuses
     on DNS as the initial resolution layer.

  2.  Framework for DNS-Based Identity

     We can observe that the standard Self-Sovereign Identity frameworks
     place the User at the center and gives the user the control over
     unveiling its personal information.  However, there is a tension
     between Privacy and Trust:




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     • the User wants to remain anonymous and do not unveil its personal
     information, which may end up in the situation in which other
     entities in the system will not trust its - nobody wants to interact
     with an anonymous interlocutor;

     • if the User discloses its real identity, other entities in the
     system may trust him.  The conclusion is that we need an entity that
     separates the User from other entities, hides its private attributes
     or personal information, and represents him with respect to other
     actors.  Such an intermediary—referred to as a Trustee—acts as a
     privacy-preserving proxy.  It manages identifiers and credentials on
     behalf of users or services, enabling authentication without exposing
     real identities.  Unlike centralized identity providers, this
     framework relies on cryptographic identifiers and DNSSEC to ensure
     trust without depending on any single administrative authority.

     The proposed architecture for management of identities includes the
     following entities:

     • *Users* – Identity Owners – correspond to persons or device owners
     who use and control their identifiers.  They may also control the
     identifiers of devices/agents they own.  The User entity may delegate
     the management of its identifiers to a trusted entity: a User Trustee
     entity.

     • *User Trustee* – provides support for registering identifiers on
     behalf of Users.  It takes care of the credentials and acts as a
     trusted proxy with respect to other entities.  The advantage of
     introducing the User Trustee entity is double: i) this kind of
     organisms or companies may gain reputation and be recognized as a
     trust provider, so trusted by relying parties (for example, the User
     entity, the Service entity, and the Service Trustee), ii) it hides
     the User from all interactions and unveiling its personal
     information, thus providing privacy-by-design.  The User Trustee
     operates based on technical transparency and auditable operations,
     rather than legal mandates.  Its trustworthiness stems from
     cryptographic proofs and operational accountability, not state-
     granted privileges.

     • *Service (or Server)* – the entity with respect to which persons
     and devices/agents want to authenticate and access authorized
     resources - the User entity may request access to a Service provided
     by the Service entity.  It uses identifiers and public keys to
     authenticate and authorize an Identity Owner or her devices/agents.
     The Service needs to trust either a User, a User Trustee, or
     Credential Issuers (in the simplest case, the Service Trustee).





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     • *Service Trustee* – provides support for registering identifiers
     and public keys on behalf of Service entities.  In a symmetric way to
     the User Trustee entity, the Service Trustee entity may help the
     Service entity to manage its identities and the relationship with
     User entities and other Trustee entities.  The Service Trustee may
     create, update, and cancel Service identifiers stored in an
     appropriate form.  The Service Trustee entity may also be configured
     to issue the Credential to the User entity.  Its role to verify the
     Credential on behalf of the Service entity and the Service entity is
     configured to authorize the access further based on the verification
     result provided by the Service Trustee entity.  Instead of presenting
     Credentials directly to the Service entity, the User entity may first
     authenticate to the User Trustee entity.  Upon successful
     authentication, the User Trustee entity presents the Credential
     either to the Service entity or to the Service Trustee entity,
     facilitating secure and privacy-respecting interactions.  The Service
     entity may verify the Credential and authorize access to the
     requested Service based on the role or attributes indicated in the
     Credential.  In this process, the Service entity interacts with the
     User Trustee entity rather than the User entity directly, thus
     balancing privacy and trust of user identity.  Entities store all
     public information on Identities (Identifiers and Public Keys) in DNS
     in the TXT record associated with the given Identifier.

  3.  Self-Certifying Identifiers, Credentials, and Ephemeral Tokens

     A Self-Certifying Identifier (SID) is a concatenation of the Context
     and the Context-dependent Identifier.  We assume that the User
     generates a pair of keys: public key P and secret key S.  The
     Context-dependent Identifier (CI) is derived from a public key - it
     is the hash of public key P: SID = Context | CI, CI =
     base32(RIPEMD160(SHA256(P))), where SHA256 and RIPEMD160 are hash
     functions resulting in 256 and 160 bits, respectively, and base32 is
     a binary-to-text encoding scheme.  The Context provides the
     information about the type of the cryptographic system used for
     generating the keys.  The identifiers of all entities may be
     represented as follows:

     • User entity: sid_u, derived from the pair of keys (P_u and S_u),

     • Service entity: sid_s, derived from the pair of keys (P_s and S_s),

     • User Trustee entity: sid_tu, derived from the pair of keys (P_tu
     and S_tu),

     • Service Trustee entity: sid_ts, derived from the pair of keys (P_ts
     and S_ts).




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     The User Trustee keeps the following information on behalf of the
     User entity: sid_u, sid_c and C, where sid_u is the identifier of the
     user entity, sid_c is the identifier of the Credential, and C is the
     Credential.  The user identifier is for a given connection to the
     Service entity with the Credential.

     The Credential is defined as follows:

     C =[sid_u, sid_c, role, SHA256(sidu, sidc, role)S_ts],

     where sid_u is the user identifier, sid_c is the credential ID, role
     is an attribute of the user entity (e.g., role=admin), and the hash
     on this information is signed by the Service Trustee entity (in a
     case where the credential issuer is the Service Trustee entity) with
     its secret key S_ts.  The Credential is kept secret by the User
     Trustee entity and presented to the Service entity in a form
     encrypted by the public key of the Service entity upon connection so
     only the Service entity may read it.

     The Service entity is configured to authorize the access by
     generating an Ephemeral Token (ET) based on the Credential, and
     authorizing the access based on the ET.

     ET is a short-lived token that enforces security by leaving attackers
     with a tiny window exploit, for example, stolen credentials.  The
     idea is that SID identifiers are persistent (which may be stored in
     DNS) and only ET is used in the actual connection request to a
     service entity to authorize access by the user entity.  ET is defined
     as follows:

     ET = [SHA256(T, L, sid_u, sid_c, K_s)]S_ts,

     where T is the timestamp, L is the token lifetime, sid_u is the user
     identifier, sid_c is the credential ID, K_s is a shared key, and the
     hash on this information is signed by the service trustee entity with
     its secret key S_ts.

  4.  DNS as a Public Directory of Identifiers

     For the main entities of the framework: User, User Trustee, Server,
     and Server Trustee, their identifiers and the corresponding public
     keys are stored in DNS and are publicly available.  The identifiers
     and the corresponding public keys stored in the TXT record are
     cryptographically signed in DNS and when an entity receives a public
     key associated with a given identifier, DNSSEC provides trust
     comparable to conventional Public Key Infrastructures (PKI) used in
     HTTPS.




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     Assume that the identifier of the user entity sid_u is registered
     under a user trustee-controlled domain, e.g., trustee.id.  So, sid_u
     may exist as the following fully qualified domain name (FQDN):
     1exq5yqbl6l48pf0fu7juhltjkrbu2rxf.trustee.id.

     Other identifiers and keys may be stored in the TXT DNS record
     associated with the FDQN in the format based on request for comments
     (RFC) 6376 used for domain keys identified mail (DKIM), which uses
     DNS TXT records to store lists of tag/value pairs encoded in the form
     of tag=value separated by a semi-colon (;).

     So, for a given SID user identifier:
     1exq5yqbl6l48pf0fu7juhltjkrbu2rxf,

     its associated identifiers and keys may be stored as the following
     TXT record:

     1exq5yqbl6l48pf0fu7juhltjkrbu2rxf TXT
     "sid=1exq5yqbl6l48pf0fu7juhltjkrbu2rxf;
     key=1caac9c64711f66e6ed71b37dc...;
     tid=16ed71b37dc5e69c5124fe93ee12446e1;
     cid=1g43wxdm35yxtjyuje72j64esenyneplk"

     Such publicly available and trusted information may allow other
     entities to authenticate the User entity, whose identifier being
     1exq5yqbl6l48pf0fu7juhltjkrbu2rxf, having the public key
     1caac9c64711f66e6ed71b37dc..., with respect to the Service entity
     represented by the Service Trustee entity
     16ed71b37dc5e69c5124fe93ee12446e1, using the Credential with the
     credential ID 1g43wxdm35yxtjyuje72j64esenyneplk.

  5.  DNS-Based Identities for Agents

     The identity framework can also support automated entities such as
     software agents or autonomous services.  These entities can be
     assigned SIDs and managed through User or Service Trustees, enabling
     secure and auditable interactions without human intervention.  Use
     cases include IoT automation, network management, and machine-to-
     machine (M2M) coordination, where accountability and role-based
     access control are required.











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  6.  Conclusions

     We have presented a framework for Privacy-Preserving Identity
     Management based on DNS supporting large scale management of users,
     IoT devices, or AI agents.  Our approach to anchor trust is to rely
     on DNS as a directory of identities with DNSSEC guaranteeing the
     integrity of responses.  Note that this document is intended as an
     informational overview of a possible architecture.  It does not
     mandate any specific implementation, nor does it promote any
     commercial model.  Alternative directories such as DIDs or IPFS may
     also be used to store identifiers and public keys, enabling
     deployment in decentralized environments.  This framework is
     compatible with modern identity standards such as [W3C.DID-Core] and
     supports compact, secure token formats like [RFC8392], while
     leveraging DNSSEC in a manner consistent with [RFC8552].

  7.  Security Considerations

     TODO

  8.  IANA Considerations

  9.  Acknowledgements

     TODO

  10.  Normative References

     1.  *[W3C.DID-Core]* W3C, "Decentralized Identifiers (DIDs)", W3C
         Recommendation 10 July 2022, <https://www.w3.org/TR/did-core/
         (https://www.w3.org/TR/did-core/)>.

     2.  *[RFC8392]* Jones, M., Lengyel, T., and S.  Erdtman, "CBOR Web
         Token (CWT)", RFC 8392, DOI <https://doi.org/10.17487/RFC8392
         (https://doi.org/10.17487/RFC8392)>, May 2018.

     3.  *[RFC8552]* Finch, T., "SMTP Security via DANE TLS", RFC 8552,
         DOI <https://doi.org/10.17487/RFC8552 (https://doi.org/10.17487/
         RFC8552)>, April 2019.

  Authors' Addresses

     Andrzej Duda
     Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG
     Email: Andrzej.Duda@imag.fr






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     Maciej Korczynski
     Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG
     Email: maciej.korczynski@grenoble-inp.fr


     Olivier Hureau
     Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG
     Email: olivier@hureau.com


     Jun Zhang
     Huawei Technologies France S.A.S.U.
     Email: junzhang1@huawei.com


     Houda Labiod
     Huawei Technologies France S.A.S.U.
     Email: houda.labiod@huawei.com

































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name: itu-t-y-3172
rev: 00
title: ITU-T Y.3172: Architectural framework for machine learning in future networks including IMT-2020
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source_id: Y.3172
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doc_status: published
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name: itu-t-x-1382
rev: 00
title: ITU-T X.1382: Security requirements for AI-based solutions in telecommunication networks
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:27.813943+00:00
source: itu
source_id: X.1382
source_url: https://www.itu.int/rec/T-REC-X.1382
doc_status: published
abstract:
  ITU-T Recommendation X.1382 on AI security: Security requirements for AI-based solutions in telecommunication networks


name: itu-t-x-1383
rev: 00
title: ITU-T X.1383: Assessment criteria for trustworthiness of AI-based telecommunication services
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:27.817003+00:00
source: itu
source_id: X.1383
source_url: https://www.itu.int/rec/T-REC-X.1383
doc_status: published
abstract:
  ITU-T Recommendation X.1383 on Trustworthy AI: Assessment criteria for trustworthiness of AI-based telecommunication services


name: itu-t-x-1384
rev: 00
title: ITU-T X.1384: Security threats and risk treatment measures for AI-based telecommunication systems
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:27.820101+00:00
source: itu
source_id: X.1384
source_url: https://www.itu.int/rec/T-REC-X.1384
doc_status: published
abstract:
  ITU-T Recommendation X.1384 on AI security: Security threats and risk treatment measures for AI-based telecommunication systems


name: iso-iec-42001-2023
rev: 00
title: ISO/IEC 42001:2023: Information technology — Artificial intelligence — Management system
time: 2023
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.876839+00:00
source: iso
source_id: ISO/IEC 42001:2023
source_url: https://www.iso.org/standard/ISO%2FIEC%2042001.html
doc_status: published
abstract:
  Specifies requirements for establishing, implementing, maintaining, and continually improving an AI management system within organizations.


name: iso-iec-38507-2022
rev: 00
abstract: Provides guidance on the governance implications of AI for governing bodies of organizations.
time: 2022
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.902549+00:00
source: iso
source_id: ISO/IEC 38507:2022
source_url: https://www.iso.org/standard/ISO%2FIEC%2038507.html
doc_status: published
title:
  ISO/IEC 38507:2022: Information technology — Governance of IT — Governance implications of the use of AI


name: iso-iec-5339-2024
rev: 00
title: ISO/IEC 5339:2024: Information technology — AI — Guidance for AI applications
time: 2024
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.909036+00:00
source: iso
source_id: ISO/IEC 5339:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%205339.html
doc_status: published
abstract:
  Provides guidance on how to apply AI within organizations, including use case analysis and risk assessment.


name: iso-iec-2382-28-1995
rev: 00
abstract: <p>Defines basic concepts related to artificial intelligence and expert systems.</p>
time: 1995-12-27
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.929856+00:00
source: iso
source_id: ISO/IEC 2382-28:1995
source_url: https://www.iso.org/standard/ISO%2FIEC%202382-28.html
doc_status: 9599
title:
  ISO/IEC 2382-28:1995: Information technology — Vocabulary — Part 28: Artificial intelligence — Basic concepts and expert systems


name: iso-iec-2382-29-1999
rev: 00
time: 1999-08-19
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.932873+00:00
source: iso
source_id: ISO/IEC 2382-29:1999
source_url: https://www.iso.org/standard/ISO%2FIEC%202382-29.html
doc_status: 9599
title:
  ISO/IEC 2382-29:1999: Information technology — Vocabulary — Part 29: Artificial intelligence — Speech recognition and synthesis

abstract:
  ISO/IEC standard: Information technology — Vocabulary — Part 29: Artificial intelligence — Speech recognition and synthesis. Committee: ISO/IEC JTC 1.


name: iso-iec-2382-31-1997
rev: 00
time: 1997-12-25
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.935987+00:00
source: iso
source_id: ISO/IEC 2382-31:1997
source_url: https://www.iso.org/standard/ISO%2FIEC%202382-31.html
doc_status: 9599
title:
  ISO/IEC 2382-31:1997: Information technology — Vocabulary — Part 31: Artificial intelligence — Machine learning

abstract:
  ISO/IEC standard: Information technology — Vocabulary — Part 31: Artificial intelligence — Machine learning. Committee: ISO/IEC JTC 1.


name: iso-iec-2382-34-1999
rev: 00
time: 1999-08-19
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.939039+00:00
source: iso
source_id: ISO/IEC 2382-34:1999
source_url: https://www.iso.org/standard/ISO%2FIEC%202382-34.html
doc_status: 9599
title:
  ISO/IEC 2382-34:1999: Information technology — Vocabulary — Part 34: Artificial intelligence — Neural networks

abstract:
  ISO/IEC standard: Information technology — Vocabulary — Part 34: Artificial intelligence — Neural networks. Committee: ISO/IEC JTC 1.


name: iso-tr-15801-2004
rev: 00
time: 2004-01-16
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.941678+00:00
source: iso
source_id: ISO/TR 15801:2004
source_url: https://www.iso.org/standard/ISO%2FTR%2015801.html
doc_status: 9599
title:
  ISO/TR 15801:2004: Electronic imaging — Information stored electronically — Recommendations for trustworthiness and reliability

abstract:
  <p>ISO 15801:2004 describes the implementation and operation of information management systems which store information electronically and where the issues of trustworthiness, reliability, authenticity and integrity are important. The whole life cycle of a stored electronic document is covered, from initial capture to eventual destruction.</p><p>ISO 15801:2004 is for use with any information management system, including traditional document imaging, workflow and COLD/ERM technologies, and using any type of electronic storage medium including WORM and rewritable technologies.</p><p>ISO 15801:2004 does not cover processes used to evaluate the authenticity of information prior to it being stored or imported into the system. However, it can be used to demonstrate that output from the system is a true reproduction of the original document.</p>


name: iso-np-20319
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.973068+00:00
source: iso
source_id: ISO/NP 20319
source_url: https://www.iso.org/standard/ISO%2FNP%2020319.html
doc_status: 1098
title:
  ISO/NP 20319: Profiles of control network residing on Ethernet for real-time communication/autonomous decentralized system

abstract:
  ISO/IEC standard: Profiles of control network residing on Ethernet for real-time communication/autonomous decentralized system. Committee: ISO/TC 184/SC 5.


name: iso-24801-2-2007
rev: 00
time: 2007-02-09
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.979287+00:00
source: iso
source_id: ISO 24801-2:2007
source_url: https://www.iso.org/standard/ISO%2024801-2.html
doc_status: 9599
title:
  ISO 24801-2:2007: Recreational diving services — Safety related minimum requirements for the training of recreational scuba divers — Part 2: Level 2 — Autonomous diver

abstract:
  <p>ISO 24801-2:2007 specifies the competencies that a scuba diver has to have achieved in order for a training organization to award the scuba diver certification indicating that he has met or exceeded scuba diver level 2 -- 'Autonomous diver' and assessment of these competencies.</p><p>It also specifies conditions under which training has to be provided, in addition to the general requirements for recreational diving service provision specified in ISO 24803. </p><p>ISO 24801-2:2007 applies only to contractual training and certification in recreational scuba diving.</p>


name: iso-iec-42006-2025
rev: 00
time: 2025-07-07
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.982408+00:00
source: iso
source_id: ISO/IEC 42006:2025
source_url: https://www.iso.org/standard/ISO%2FIEC%2042006.html
doc_status: 6060
title:
  ISO/IEC 42006:2025: Information technology — Artificial intelligence — Requirements for bodies providing audit and certification of artificial intelligence management systems

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies additional requirements to ISO/IEC 17021-1. The requirements contained in this document, when implemented, support the demonstration of competence, consistency and reliability by the bodies performing auditing and certification of an artificial intelligence management system (AIMS) according to ISO/IEC 42001 for organizations that provide, develop or use AI systems.</span></p><p class='MsoBodyText'><span lang='EN-GB'>Certification of AIMS is a third-party conformity assessment activity (as described in ISO/IEC 17000:2020, 4.5), and bodies performing this activity are third-party conformity assessment bodies.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document also provides the necessary information and confidence to customers about the way certification has been granted.</span></p><p class='Note'><span lang='EN-GB'>NOTE<span style='mso-tab-count: 1;'>            </span>This document can be used as a criteria document for accreditation or peer assessment.</span></p>


name: iso-22373-2025
rev: 00
time: 2025-11-19
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.985591+00:00
source: iso
source_id: ISO 22373:2025
source_url: https://www.iso.org/standard/ISO%2022373.html
doc_status: 6060
title:
  ISO 22373:2025: Security and resilience — Authenticity, integrity and trust for products and documents — Framework for establishing trustworthy supply and value chains

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document establishes a framework to support stakeholders in supply and value chains to ensure the chain of trustworthiness regarding the properties of their products and production processes.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document provides guidelines to identify information relevant to trustworthiness to be exchanged between supply and value chain stakeholders. It also provides an interoperable data structure that is required for supply and value chain stakeholders to negotiate and exchange information relevant to trustworthiness.</span></p><p class='MsoBodyText'><span lang='EN-GB'>The guidelines set out in this document are generic and are intended to be applicable to all organizations and products, regardless of type, size or nature.</span></p>


name: iso-tr-15801-2009
rev: 00
time: 2009-10-09
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.988533+00:00
source: iso
source_id: ISO/TR 15801:2009
source_url: https://www.iso.org/standard/ISO%2FTR%2015801.html
doc_status: 9599
title:
  ISO/TR 15801:2009: Document management — Information stored electronically — Recommendations for trustworthiness and reliability

abstract:
  <p>ISO/TR 15801:2009 describes the implementation and operation of document management systems that can be considered to store electronic information in a trustworthy and reliable manner.</p><p>ISO/TR 15801:2009 is for use by any organization that uses a document management system to store authentic, reliable and usable/readable electronic information over time. Such systems incorporate policies, procedures, technology and audit requirements that ensure that the integrity of the electronic information is maintained during storage.</p><p>ISO/TR 15801:2009 does not cover processes used to evaluate whether information can be considered to be authentic prior to it being stored or imported into the system. However, it can be used to demonstrate that, once the information is stored, output from the system will be a true and accurate reproduction of the original.</p>


name: iso-39003-2023
rev: 00
time: 2023-07-27
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.991240+00:00
source: iso
source_id: ISO 39003:2023
source_url: https://www.iso.org/standard/ISO%2039003.html
doc_status: 6060
title:
  ISO 39003:2023: Road traffic safety (RTS) — Guidance on ethical considerations relating to safety for autonomous vehicles

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document gives guidance on ethical considerations with regards to road traffic safety of autonomous vehicles (AVs).</span></p><p class='MsoBodyText'><span lang='EN-GB'>It is applicable to vehicles in level 5 mode according to SAE J3016 in 2022, as part of its report.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document does not apply to the technical method used to control the decision-making process, nor does it give any guidance on the desired outcomes of those decisions; it gives guidance on ethical aspects for consideration in the design of decision-making process.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document does not set requirements for the outcomes of ethical decisions, nor does it offer guidance on methodology. It only details aspects of the behaviour of AVs for which considerations may be made by the designer/manufacturer to ensure that key aspects are not overlooked or disregarded.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document does not offer the technical precision to prescribe the required controls but would, rather, offer a set of “protocol guidelines” that all decision makers regarding automated driving could choose to self-certify against to assure that the desired necessary ethical considerations were addressed during design and effectively controlled.</span></p>


name: iso-ts-12813-2009
rev: 00
time: 2009-11-04
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.994098+00:00
source: iso
source_id: ISO/TS 12813:2009
source_url: https://www.iso.org/standard/ISO%2FTS%2012813.html
doc_status: 9599
title:
  ISO/TS 12813:2009: Electronic fee collection — Compliance check communication for autonomous systems

abstract:
  <p>ISO/TS 12813:2009 defines requirements for short-range communication for the purposes of compliance checking in autonomous electronic fee-collecting (EFC) systems. Compliance checking communication (CCC) takes place between a road vehicle's on-board equipment (OBE) and an outside interrogator (road-side mounted equipment, mobile device or hand‑held unit), and serves to establish whether the data that are delivered by the OBE correctly reflect the road usage of the corresponding vehicle according to the rules of the pertinent toll regime.</p><p>The operator of the compliance checking interrogator is assumed to be part of the toll charging role as defined in ISO 17573. The CCC permits identification of the OBE, vehicle and contract, and verification of whether the driver has fulfilled his obligations and the checking status and performance of the OBE. The CCC reads, but does not write, OBE data. </p><p>ISO/TS 12813:2009 is applicable to OBE in an autonomous mode of operation; it is not applicable to compliance checking in dedicated short-range communication (DSRC)-based charging systems. It defines data syntax and semantics, but does not define a communication sequence. All the attributes defined herein are required in any OBE claimed to be compliant with ISO/TS 12813:2009, even if some values are set to “not defined” in cases where a certain functionality is not present in an OBE. The interrogator is free to choose which attributes are read, as well as the sequence in which they are read. In order to achieve compatibility with existing systems, the communication makes use of the attributes defined in ISO 14906 wherever possible. </p><p>The CCC is suitable for a range of short‑range communication media. Specific definitions are given for the CEN DSRC specified in EN 15509, as well as for the use of ISO CALM IR, UNI DSRC and ARIB DSRC as alternatives to the CEN DSRC. The attributes and functions defined are for compliance checking by means of the DSRC communication 


name: iso-ts-17575-1-2010
rev: 00
time: 2010-06-10
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:30.997249+00:00
source: iso
source_id: ISO/TS 17575-1:2010
source_url: https://www.iso.org/standard/ISO%2FTS%2017575-1.html
doc_status: 9599
title:
  ISO/TS 17575-1:2010: Electronic fee collection — Application interface definition for autonomous systems — Part 1: Charging

abstract:
  <p>ISO/TS 17575‑1:2010 defines the format and semantic of the data exchange between a Front End (OBE plus optional proxy) and corresponding Back Ends in autonomous toll regimes. ISO/TS 17575‑1:2010 deals with the definition of the data elements used to report charging details from the Front End to the CE and to receive data which can be used to re-configure the ongoing process of gathering charge relevant information in the Front End.</p><p>The data defined in ISO/TS 17575‑1:2010 is used to generate charge reports that contain information about the road usage of a vehicle for certain time intervals. The contents of these charge reports might vary between toll regimes. A toll regime comprises a set of rules for charging, including the charged network, the charging principles, the liable vehicles and a definition of the required contents of the charge report.</p><p>The data defined in ISO/TS 17575‑1:2010 are exchanged using an open definition of a communication stack as defined in ISO/TS 17575‑2.</p><p>The definitions in ISO/TS 17575‑1:2010 comprise:</p><ul><li>reporting data, i.e. data for transferring road usage data from Front End to Back End, including a response from the Back End towards the Front End;</li><li>contract data, i.e. data for identifying contractually essential entities;</li><li>road usage data, i.e. data for reporting the amount of road usage;</li><li>account data for managing a payment account;</li><li>versioning data;</li><li>compliance checking data, i.e. data imported from ISO/TS 12813, which are required in Compliance Checking Communications.</li></ul>


name: iso-ts-17575-2-2010
rev: 00
time: 2010-06-10
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.000398+00:00
source: iso
source_id: ISO/TS 17575-2:2010
source_url: https://www.iso.org/standard/ISO%2FTS%2017575-2.html
doc_status: 9599
title:
  ISO/TS 17575-2:2010: Electronic fee collection — Application interface definition for autonomous systems — Part 2: Communication and connection to the lower layers

abstract:
  <p>ISO/TS 17575‑2:2010 defines how to convey all or parts of the data element structure defined in ISO/TS 17575‑1 over any communication stack and media suitable for this application. It is focussed on mobile communication links. However, wired links shall use the same methodology.</p><p>The communication interface shall be implemented as an API in the programming environment of choice for the Front End (FE) system. The definition of this API in concrete terms is outside of the scope of ISO/TS 17575‑2:2010. ISO/TS 17575‑2:2010 specifies an abstract API that defines the semantics of the concrete API. An example concrete API is presented in Annex C. Where no distinction is made between the abstract and concrete communications APIs the term 'communications API' or just 'API', can be used.</p>


name: iso-ts-17575-3-2011
rev: 00
time: 2011-04-11
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.003493+00:00
source: iso
source_id: ISO/TS 17575-3:2011
source_url: https://www.iso.org/standard/ISO%2FTS%2017575-3.html
doc_status: 9599
title:
  ISO/TS 17575-3:2011: Electronic fee collection — Application interface definition for autonomous systems — Part 3: Context data

abstract:
  <p>ISO/TS 17575 defines the information exchange between the Front End and the Back End in Electronic Fee Collection (EFC) based on autonomous on-board equipment (OBE). ISO/TS 17575-3:2011 defines the data to be used for a description of individual charging systems in terms of charged geographical objects and charging and reporting rules. For every Toll Charger's system, attributes defined in ISO/TS 17575-3:2011 are used to transfer data to the Front End in order to instruct it which data to collect and report.</p>


name: iso-ts-17575-4-2011
rev: 00
time: 2011-04-11
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.006396+00:00
source: iso
source_id: ISO/TS 17575-4:2011
source_url: https://www.iso.org/standard/ISO%2FTS%2017575-4.html
doc_status: 9599
title:
  ISO/TS 17575-4:2011: Electronic fee collection — Application interface definition for autonomous systems — Part 4: Roaming

abstract:
  <p>ISO/TS 17575 defines the information exchange between the Front End and the Back End in Electronic Fee Collection (EFC) based on autonomous on-board equipment (OBE). ISO/TS 17575-4:2011 defines the functional details and data elements required to operate more than one EFC regime in parallel. The domains of these EFC regimes may or may not overlap. The charge rules of different overlapping EFC regimes may be linked, i.e. they may include rules that an area pricing scheme shall not be charged if an overlapping toll road is used and already paid for.</p>


name: iso-iec-30147-2021
rev: 00
time: 2021-08-17
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.009217+00:00
source: iso
source_id: ISO/IEC 30147:2021
source_url: https://www.iso.org/standard/ISO%2FIEC%2030147.html
doc_status: 9092
title:
  ISO/IEC 30147:2021: Information technology — Internet of things — Methodology for trustworthiness of IoT system/service

abstract:
  ISO/IEC standard: Information technology — Internet of things — Methodology for trustworthiness of IoT system/service. Committee: ISO/IEC JTC 1/SC 41.


name: iso-iec-ts-30149-2024
rev: 00
title: ISO/IEC TS 30149:2024: Internet of Things (IoT) — Trustworthiness principles
time: 2024-05-27
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.011939+00:00
source: iso
source_id: ISO/IEC TS 30149:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%20TS%2030149.html
doc_status: 6060
abstract:
  <p>This document provides principles for IoT trustworthiness based on ISO/IEC 30141 - IoT Reference Architecture.</p>


name: iso-iec-30184-2024
rev: 00
time: 2024-12-11
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.014736+00:00
source: iso
source_id: ISO/IEC 30184:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%2030184.html
doc_status: 6060
title:
  ISO/IEC 30184:2024: Internet of Things (IoT) — Autonomous IoT object identification in connected home — Requirements and framework

abstract:
  <p>This document specifies the following items for the autonomous IoT object identification in a connected home:</p><p>– requirements;</p><p>– architecture, functional entities and interfaces;</p><p>– operation procedures.</p><p>Information model formats, data formats, and identifier assignment are out of scope of this document.</p>


name: iso-ts-13141-2010
rev: 00
time: 2010-02-11
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.017475+00:00
source: iso
source_id: ISO/TS 13141:2010
source_url: https://www.iso.org/standard/ISO%2FTS%2013141.html
doc_status: 9599
title:
  ISO/TS 13141:2010: Electronic fee collection — Localisation augmentation communication for autonomous systems

abstract:
  <p>ISO/TS 13141:2010 establishes requirements for short-range communication for the purposes of augmenting the localisation in autonomous electronic fee collection (EFC) systems. Localisation augmentation serves to inform OBE about geographical location and the identification of a charge object. ISO/TS 13141:2010 specifies the provision of location and heading information and security means to protect from the manipulation of the OBE with false road-side equipment (RSE). </p><p>The localisation augmentation communication takes place between an OBE in a vehicle and fixed road-side equipment. ISO/TS 13141:2010 is applicable to OBE in an autonomous mode of operation. </p><p>ISO/TS 13141:2010 defines attributes and functions for the purpose of localisation augmentation, by making use of the DSRC communication services provided by DSRC Layer 7, and makes these LAC attributes and functions available to the LAC applications at the RSE and the OBE. Attributes and functions are defined on the level of Application Data Units.</p>


name: iso-awi-29999
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.020670+00:00
source: iso
source_id: ISO/AWI 29999
source_url: https://www.iso.org/standard/ISO%2FAWI%2029999.html
doc_status: 2000
title:
  ISO/AWI 29999: Education and learning services — Application of Artificial Intelligence (AI) Technology — Ethical Guidelines

abstract:
  This proposal is intended to provide ethical recommendations and guidelines for the application of artificial intelligence (AI) technology in education and learning services. It addresses general ethical principles, integrated framework, key factors, essential actions for applying AI technology in education and learning servicesThis proposal does not cover AI technologies or other information technology recommendations and guidelines that are defined or addressed by other standards.This proposal is applicable to all organizations providing education and learning services, including commercial entities, public services, and not-for-profit organizations.


name: iso-16363-2012
rev: 00
time: 2012-02-14
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.024388+00:00
source: iso
source_id: ISO 16363:2012
source_url: https://www.iso.org/standard/ISO%2016363.html
doc_status: 9599
title:
  ISO 16363:2012: Space data and information transfer systems — Audit and certification of trustworthy digital repositories

abstract:
  <p>ISO 16363:2012 defines a recommended practice for assessing the trustworthiness of digital repositories. It is applicable to the entire range of digital repositories. ISO 16363:2012 can be used as a basis for certification.</p>


name: iso-iec-dis-27090
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.027968+00:00
source: iso
source_id: ISO/IEC DIS 27090
source_url: https://www.iso.org/standard/ISO%2FIEC%20DIS%2027090.html
doc_status: 4060
title:
  ISO/IEC DIS 27090: Cybersecurity — Artificial Intelligence — Guidance for addressing security threats and compromises to artificial intelligence systems

abstract:
  <p class='MsoBodyText' style='margin: 4.5pt 59.4pt .0001pt 19.85pt;'>This document <span style='color: black; mso-color-alt: windowtext; background: yellow;'>addresses </span>security threats and <span style='color: black; mso-color-alt: windowtext; background: yellow;'>compromises</span> specific to artificial intelligence (AI) systems. <span style='color: black; mso-color-alt: windowtext; background: yellow;'>This</span> document aims to provide information to organizations to help them better understand the consequences of security threats specific to AI systems, throughout their life cycle, and descriptions of how to detect and mitigate such threats.</p><p class='MsoBodyText' style='margin-left: 0cm;'> </p><p><span style='font-size: 11.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;'>This document is applicable to all types and sizes of organizations, including public and private companies, government entities, and not-for-profit organizations, that develop or use AI systems</span></p>


name: iso-iec-dis-27091
rev: 00
title: ISO/IEC DIS 27091: Cybersecurity and Privacy — Artificial Intelligence — Privacy protection
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.031255+00:00
source: iso
source_id: ISO/IEC DIS 27091
source_url: https://www.iso.org/standard/ISO%2FIEC%20DIS%2027091.html
doc_status: 4060
abstract:
  This document provides guidance for organizations to address privacy risks in artificial intelligence (AI) systems and machine learning (ML) models. The guidance in this document helps organizations identify privacy risks throughout the AI system lifecycle, and establishes mechanisms to evaluate the consequences of and treat such risks.This document is applicable to all types and sizes of organizations, including public and privatecompanies, government entities, and not-for-profit organizations that develop or use AI systems.


name: iso-16919-2014
rev: 00
time: 2014-10-29
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.034138+00:00
source: iso
source_id: ISO 16919:2014
source_url: https://www.iso.org/standard/ISO%2016919.html
doc_status: 9599
title:
  ISO 16919:2014: Space data and information transfer systems — Requirements for bodies providing audit and certification of candidate trustworthy digital repositories

abstract:
  <p>ISO 16919:2014 is meant primarily for those setting up and managing the organization performing the auditing and certification of digital repositories.</p><p>It should also be of use to those who work in or are responsible for digital repositories seeking objective measurement of the trustworthiness of their repository and wishing to understand the processes involved.</p><p>The main purpose is to define a CCSDS Recommended Practice (and ISO International Standard) on which to base the operations of the organization(s) which assess the trustworthiness of digital repositories using ISO 16363 and provide the appropriate certification. ISO 16919:2014 specifies requirements for bodies providing audit and certification of digital repositories, based on the metrics contained within ISO/IEC 17021 and CCSDS 652.0-M-1/ISO 16363. It is primarily intended to support the accreditation of bodies providing such certification.</p><p>ISO/IEC 17021 provides the bulk of the requirements on bodies offering audit and certification for general types of management systems. However, for each specific type of system, specific additional requirements will be needed, for example, to specify the standard against which the audit is to be made and the qualifications which auditors require.</p><p>ISO 16919:2014 provides the (small number of) specific additions required for bodies providing audit and certification of candidate trustworthy digital repositories. Trustworthy here means that they can be trusted to maintain, over the long-term, the understandability and usability of digitally encoded information placed into their safekeeping.</p><p>In order improve readability, the clause numbers are kept consistent with those of ISO/IEC 17021. Some subclauses are applicable as they stand, and these are simply enumerated; otherwise additions to subclauses are explicitly given. In the former case, the clauses may consist of just a few sentences. As a result, this document must be read in conjunction 


name: iso-24801-2-2014
rev: 00
time: 2014-03-31
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.037515+00:00
source: iso
source_id: ISO 24801-2:2014
source_url: https://www.iso.org/standard/ISO%2024801-2.html
doc_status: 9093
title:
  ISO 24801-2:2014: Recreational diving services — Requirements for the training of recreational scuba divers — Part 2: Level 2 — Autonomous diver

abstract:
  <p>ISO 24801-2:2014 specifies the competencies required of a scuba diver in order to obtain a scuba diver qualification from a training organization attesting that he/she has met or exceeded scuba diver level 2 ('Autonomous diver'), and specifies evaluation criteria for these competencies.</p><p>It also specifies the conditions under which training is provided, in addition to the general requirements for recreational diving service provision in accordance with ISO 24803.</p><p>ISO 24801-2:2014 applies to training and evaluation in recreational scuba diving.</p>


name: iso-17757-2017
rev: 00
time: 2017-10-03
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.040858+00:00
source: iso
source_id: ISO 17757:2017
source_url: https://www.iso.org/standard/ISO%2017757.html
doc_status: 9599
title:
  ISO 17757:2017: Earth-moving machinery and mining — Autonomous and semi-autonomous machine system safety

abstract:
  <p>ISO 17757 provides safety requirements for autonomous machines and semi-autonomous machines used in earth-moving and mining operations, and their autonomous or semi-autonomous machine systems (ASAMS). It specifies safety criteria both for the machines and their associated systems and infrastructure, including hardware and software, and provides guidance on safe use in their defined functional environments during the machine and system life cycle. It also defines terms and definitions related to ASAMS.</p><p>It is applicable to autonomous and semi-autonomous versions of the earth-moving machinery (EMM) defined in ISO 6165 and of mobile mining machines used in either surface or underground applications. Its principles and many of its provisions can be applied to other types of autonomous or semi‑autonomous machines used on the worksites.</p><p>Safety requirements for general mobile EMM and mining machines, as well as operators, trainers or passengers on the machine, are given by other International Standards (e.g. ISO 20474, ISO 19296). ISO 17757 addresses additional hazards specific and relevant to ASAMS when used as intended.</p><p>It is not applicable to remote control capability (covered by ISO 15817) or function-specific automated features, except when those features are used as part of ASAMS.</p>


name: iso-18829-2017
rev: 00
title: ISO 18829:2017: Document management — Assessing ECM/EDRM implementations — Trustworthiness
time: 2017-06-01
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.044521+00:00
source: iso
source_id: ISO 18829:2017
source_url: https://www.iso.org/standard/ISO%2018829.html
doc_status: 9093
abstract:
  <p>ISO 18829:2017 identifies activities and operations that an organization needs to perform, or have performed, to evaluate whether the electronically stored information (ESI) is or was maintained in a reliable and trustworthy environment(s). These environments utilize content or records management technologies commonly referred to as either enterprise content management (ECM) or electronic document and records management (EDRM) enforcing organizational records management policies and schedules.</p><p>ISO/TR 15801 and ISO 15489 (all parts) established the standards and best practices associated with implementing trustworthy records/document management environments. However, a standard is necessary to define the methodology used to evaluate these types of records/document management environments regardless of what technologies are currently employed by the organization. ISO 18829:2017 establishes the assessment methodology to be followed to identify the level of organizational compliance with these standards as related to trustworthiness and reliability of information stored in these environments.</p><p>ISO 18829:2017 is applicable to existing or planned ECM systems. Establishing the existence of a trustworthy system is an important step in documenting the reliability of ESI maintained within that system or environment. ISO 18829:2017 is designed for use by organizations evaluating the trustworthiness of existing record/document management environments. ISO 18829:2017 identifies all of the mandatory activities and areas that need to be examined by a resource, or resources, with a thorough technical and operational knowledge of the specific technologies and methodologies being examined, along with understanding record management processes and activities.</p>


name: iso-ts-13141-2010-cor-1-2013
rev: 00
time: 2013-03-19
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.051906+00:00
source: iso
source_id: ISO/TS 13141:2010/Cor 1:2013
source_url: https://www.iso.org/standard/ISO%2FTS%2013141.html
doc_status: 9599
title:
  ISO/TS 13141:2010/Cor 1:2013: Electronic fee collection — Localisation augmentation communication for autonomous systems — Technical Corrigendum 1

abstract:
  ISO/IEC standard: Electronic fee collection — Localisation augmentation communication for autonomous systems — Technical Corrigendum 1. Committee: ISO/TC 204.


name: iso-ts-17575-1-2010-cor-1-2013
rev: 00
time: 2013-03-20
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.055302+00:00
source: iso
source_id: ISO/TS 17575-1:2010/Cor 1:2013
source_url: https://www.iso.org/standard/ISO%2FTS%2017575-1.html
doc_status: 9599
title:
  ISO/TS 17575-1:2010/Cor 1:2013: Electronic fee collection — Application interface definition for autonomous systems — Part 1: Charging — Technical Corrigendum 1

abstract:
  ISO/IEC standard: Electronic fee collection — Application interface definition for autonomous systems — Part 1: Charging — Technical Corrigendum 1. Committee: ISO/TC 204.


name: iso-ts-17575-3-2011-cor-1-2013
rev: 00
time: 2013-03-20
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.058970+00:00
source: iso
source_id: ISO/TS 17575-3:2011/Cor 1:2013
source_url: https://www.iso.org/standard/ISO%2FTS%2017575-3.html
doc_status: 9599
title:
  ISO/TS 17575-3:2011/Cor 1:2013: Electronic fee collection — Application interface definition for autonomous systems — Part 3: Context data — Technical Corrigendum 1

abstract:
  ISO/IEC standard: Electronic fee collection — Application interface definition for autonomous systems — Part 3: Context data — Technical Corrigendum 1. Committee: ISO/TC 204.


name: iso-17575-1-2016
rev: 00
time: 2016-01-18
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.062482+00:00
source: iso
source_id: ISO 17575-1:2016
source_url: https://www.iso.org/standard/ISO%2017575-1.html
doc_status: 9093
title:
  ISO 17575-1:2016: Electronic fee collection — Application interface definition for autonomous systems — Part 1: Charging

abstract:
  <p>ISO 17575-1:2016 defines the format and semantics of the data exchange between a Front End (OBE plus optional proxy) and corresponding Back Ends in autonomous toll schemes. It defines the data elements that are used to generate charge reports containing information about the road usage of a vehicle for certain time intervals, sent from the Front End to the Back End. It also defines the data that can be used to re-configure the ongoing process of gathering charge relevant information in the Front End. The scope is shown in Figure 1.</p><p>The constitution of the charge report is dependent on configuration data that are assumed to be present in the Front End. The assembly of charge reports can be configured for each individual toll scheme according to local needs. Charge reports generated in accordance with this part of ISO 17575 are consistent with the requirements derived from the architectural concept defined in ISO 17573:2010.</p><p>The definitions in ISO 17575-1:2016 comprise</p><p>-      reporting data, i.e. data for transferring road usage data from Front End to Back End, including a response from the Back End towards the Front End,</p><p>-      data for supporting security mechanisms,</p><p>-      contract data, i.e. data for identifying contractually essential entities,</p><p>-      road usage data, i.e. data for reporting the amount of road usage,</p><p>-      account data for managing a payment account,</p><p>-      versioning data, and</p><p>-      compliance checking data, i.e. data imported from ISO 12813:2015, which are required in compliance checking communication.</p><p>Annex A contains the data type specifications using ASN.1 notation.</p><p>The protocol implementation conformity statements (PICS) proforma are provided in Annex B.</p><p>Annex C provides a graphical presentation of the structure of the data elements described in Clause 7.</p><p>Annex D provides information on how this part of ISO 17575 can be used in EETS environment and how the re


name: iso-17575-2-2016
rev: 00
time: 2016-01-18
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.065975+00:00
source: iso
source_id: ISO 17575-2:2016
source_url: https://www.iso.org/standard/ISO%2017575-2.html
doc_status: 9093
title:
  ISO 17575-2:2016: Electronic fee collection — Application interface definition for autonomous systems — Part 2: Communication and connection to the lower layers

abstract:
  <p>ISO 17575-2:2016 defines how to convey all or parts of the data element structure defined in other parts of ISO 17575 over any communication stack and media suitable for this application. It is applicable only to mobile communication links (although wired links, i.e. back office connections, can use the same methodology).</p><p>To establish a link to a sequence of service calls initializing the communication channel, addressing the reception of the message and forwarding the payload are required. The definition provided in this part of ISO 17575 includes the required communication medium independent services, represented by an abstract application programming interface (API).</p><p>The communication interface is implemented as an API in the programming environment of choice for the Front End (FE) system. The specification of the Back End (BE) API is outside the scope of this part of ISO 17575.</p><p>The definition of this API in concrete terms is outside of the scope of this part of ISO 17575. This part of ISO 17575 specifies an abstract API that defines the semantics of the concrete API as illustrated in Figure 3 and its protocol implementation conformance statement (PICS) proforma (see Annex B). An example of a concrete API is presented in Annex C. Where no distinction is made between the abstract and concrete communications APIs, the term 'communications API' or just 'API' can be used.</p><p/><p>ISO 17575-2:2016 also provides a detailed specification for the structure of associated API statements, an example on how to implement it and its role in a complex toll cluster such as the EETS (see Annex A to Annex E).</p><p>Media selection policies, certificate handling and encryption mechanisms are outside of the scope of this part of ISO 17575.</p>


name: iso-17575-3-2016
rev: 00
time: 2016-01-18
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.069304+00:00
source: iso
source_id: ISO 17575-3:2016
source_url: https://www.iso.org/standard/ISO%2017575-3.html
doc_status: 9093
title:
  ISO 17575-3:2016: Electronic fee collection — Application interface definition for autonomous systems — Part 3: Context data

abstract:
  <p>ISO 17575-3:2016 defines the content, semantics and format of the data exchange between a Front End (OBE plus optional proxy) and the corresponding Back End in autonomous toll systems. It defines the data elements used to specify and describe the toll context details. Context data are transmitted from the Back End to the Front End to configure it for the charging processes of the associated toll context.</p><p>In ISO 17575, context data is the description of the properties of a single instance of an electronic fee collection (EFC) context. This single instance of an EFC context operates according to one of the basic tolling principles such as</p><p>-      road section charging,</p><p>-      area charging (according to travelled distance or duration of time), and</p><p>-      cordon charging.</p><p>EFC context data comprise a set of rules for charging, including the description of the charged network, the charging principles, the liable vehicles and a definition of the required contents of the charge report. This set of rules is defined individually for each EFC context according to local needs.</p><p>The following data and associated procedures are defined in this part of ISO 17575:</p><p>-      data providing toll context overview information;</p><p>-      data providing tariff information (including definitions of required tariff determinants such as vehicle parameters, time classe, etc.);</p><p>-      data providing context layout information;</p><p>-      data providing reporting rules information.</p><p>ISO 17575-3:2016 also provides the required definitions and data specifications to be applied when one single toll context is spilt inot more than one toll context partitions. This is applicable to cases where one EFC scheme and the rules applied cannot be described with a single set of context data.</p><p>Annex A provides the data type specification using ASN.1 notation.</p><p>The protocol implementation conformity statements (PICS) proforma are provided in 


name: iso-dis-17575-4
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.072593+00:00
source: iso
source_id: ISO/DIS 17575-4
source_url: https://www.iso.org/standard/ISO%2FDIS%2017575-4.html
doc_status: 4098
title:
  ISO/DIS 17575-4: Electronic fee collection — Application interface definition for autonomous systems — Part 4: Roaming

abstract:
  ISO/IEC standard: Electronic fee collection — Application interface definition for autonomous systems — Part 4: Roaming. Committee: ISO/TC 204.


name: iso-12813-2015
rev: 00
title: ISO 12813:2015: Electronic fee collection — Compliance check communication for autonomous systems
time: 2015-11-19
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.075584+00:00
source: iso
source_id: ISO 12813:2015
source_url: https://www.iso.org/standard/ISO%2012813.html
doc_status: 9599
abstract:
  <p>ISO 12813:2015 defines requirements for short-range communication for the purposes of compliance checking in autonomous electronic fee-collecting systems. Compliance checking communication (CCC) takes place between a road vehicle's on-board equipment (OBE) and an outside interrogator (road-side mounted equipment, mobile device or hand-held unit), and serves to establish whether the data that are delivered by the OBE correctly reflect the road usage of the corresponding vehicle according to the rules of the pertinent toll regime.</p><p>The operator of the compliance checking interrogator is assumed to be part of the toll charging role as defined in ISO 17573. The CCC permits identification of the OBE, vehicle and contract, and verification of whether the driver has fulfilled his obligations and the checking status and performance of the OBE. The CCC reads, but does not write, OBE data.</p><p>ISO 12813:2015 is applicable to OBE in an autonomous mode of operation; it is not applicable to compliance checking in dedicated short-range communication (DSRC)-based charging systems.</p><p>It defines data syntax and semantics, but does not define a communication sequence. All the attributes defined herein are required in any OBE claimed to be compliant with this International Standard, even if some values are set to 'not defined' in cases where certain functionality is not present in an OBE. The interrogator is free to choose which attributes are read, as well as the sequence in which they are read. In order to achieve compatibility with existing systems, the communication makes use of the attributes defined in ISO 14906 wherever useful.</p><p>The CCC is suitable for a range of short-range communication media. Specific definitions are given for the CEN-DSRC as specified in EN 15509, as well as for the use of ISO CALM IR, the Italian DSRC as specified in ETSI ES 200 674-1 and ARIB DSRC as alternatives to the CEN-DSRC. The attributes and functions defined are for compliance c


name: iso-13141-2015
rev: 00
time: 2015-11-18
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.079068+00:00
source: iso
source_id: ISO 13141:2015
source_url: https://www.iso.org/standard/ISO%2013141.html
doc_status: 9599
title:
  ISO 13141:2015: Electronic fee collection — Localisation augmentation communication for autonomous systems

abstract:
  <p>ISO 13141:2015 establishes requirements for short-range communication for the purposes of augmenting the localization in autonomous electronic fee collection (EFC) systems. Localization augmentation serves to inform on-board equipment (OBE) about geographical location and the identification of a charge object. This International Standard specifies the provision of location and heading information and security means to protect from the manipulation of the OBE with false roadside equipment (RSE).</p><p>The localization augmentation communication takes place between an OBE in a vehicle and fixed roadside equipment. This International Standard is applicable to OBE in an autonomous mode of operation.</p><p>ISO 13141:2015 defines attributes and functions for the purpose of localization augmentation, by making use of the dedicated short-range communications (DSRC) communication services provided by DSRC Layer 7, and makes these LAC attributes and functions available to the LAC applications at the RSE and the OBE. Attributes and functions are defined on the level of Application Data Units (ADUs, see Figure 1).</p>


name: iso-tr-15801-2017
rev: 00
time: 2017-05-17
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.083284+00:00
source: iso
source_id: ISO/TR 15801:2017
source_url: https://www.iso.org/standard/ISO%2FTR%2015801.html
doc_status: 9092
title:
  ISO/TR 15801:2017: Document management — Electronically stored information — Recommendations for trustworthiness and reliability

abstract:
  <p>ISO/TR 15801:2017 describes the implementation and operation of information management systems that store and make available for use electronically stored information (ESI) in a trustworthy and reliable manner. Such ESI can be of any type, including 'page based' information, information in databases and audio/video information.</p><p>ISO/TR 15801:2017 is for use by any organization that uses systems to store trustworthy ESI over time. Such systems incorporate policies, procedures, technology and audit requirements that ensure that trustworthiness of the ESI is maintained.</p><p>ISO/TR 15801:2017 does not cover processes used to evaluate whether ESI can be considered to be trustworthy prior to it being stored or imported into the system. However, it can be used to demonstrate that, once the electronic information is stored, output from the system will be a true and accurate reproduction of the ESI created and/or imported.</p>


name: iso-pwi-20531
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.086883+00:00
source: iso
source_id: ISO/PWI 20531
source_url: https://www.iso.org/standard/ISO%2FPWI%2020531.html
doc_status: 98
title:
  ISO/PWI 20531: Road vehicles — Test method to evaluate the performance of autonomous braking systems

abstract:
  ISO/IEC standard: Road vehicles — Test method to evaluate the performance of autonomous braking systems. Committee: ISO/TC 22/SC 33.


name: iso-iec-20546-2019
rev: 00
title: ISO/IEC 20546:2019: Information technology — Big data — Overview and vocabulary
time: 2019-02-28
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.090597+00:00
source: iso
source_id: ISO/IEC 20546:2019
source_url: https://www.iso.org/standard/ISO%2FIEC%2020546.html
doc_status: 9060
abstract:
  <p>This document provides a set of terms and definitions needed to promote improved communication and understanding of this area. It provides a terminological foundation for big data-related standards.</p><p>This document provides a conceptual overview of the field of big data, its relationship to other technical areas and standards efforts, and the concepts ascribed to big data that are not new to big data.</p>


name: iso-pwi-20554
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.094505+00:00
source: iso
source_id: ISO/PWI 20554
source_url: https://www.iso.org/standard/ISO%2FPWI%2020554.html
doc_status: 98
title:
  ISO/PWI 20554: Road vehicles — Test method to evaluate the performance of autonomous braking systems

abstract:
  ISO/IEC standard: Road vehicles — Test method to evaluate the performance of autonomous braking systems. Committee: ISO/TC 22.


name: iso-pwi-20800
rev: 00
title: ISO/PWI 20800: Underwater acoustics — Calibration of autonomous acoustic receiver/recorder systems
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.098593+00:00
source: iso
source_id: ISO/PWI 20800
source_url: https://www.iso.org/standard/ISO%2FPWI%2020800.html
doc_status: 98
abstract:
  ISO/IEC standard: Underwater acoustics — Calibration of autonomous acoustic receiver/recorder systems. Committee: ISO/TC 43/SC 3.


name: iso-37168-2022
rev: 00
time: 2022-06-14
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.102759+00:00
source: iso
source_id: ISO 37168:2022
source_url: https://www.iso.org/standard/ISO%2037168.html
doc_status: 6060
title:
  ISO 37168:2022: Smart community infrastructures — Guidance on smart transportation by Electric, Connected and Autonomous Vehicles (eCAVs) and its application to on-demand responsive passenger services with shared vehicles

abstract:
  <p>This document provides guidance on the staged implementation of Electric, Connected and Autonomous Vehicle (eCAV) passenger and delivery services, with a special focus on on-demand responsive passenger services with shared vehicles. This document aims to accelerate innovation and deliver smart transportation by eCAV, in and between cities.</p><p>Note 1 to entry:       This document does not designate the technical details of eCAVs, including pods, which are Low-Speed Autonomous Transport System (L-SAT) vehicles. These technical details are provided by ISO 22737.</p><p>Note 2 to entry:       This document targets on-demand responsive passenger services with shared vehicles. ISO 37181 also mentions the advantages of eCAV applications to public transportation.</p>


name: iso-37181-2022
rev: 00
time: 2022-06-14
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.106892+00:00
source: iso
source_id: ISO 37181:2022
source_url: https://www.iso.org/standard/ISO%2037181.html
doc_status: 6060
title:
  ISO 37181:2022: Smart community infrastructures — Smart transportation by autonomous vehicles on public roads

abstract:
  <p>This document describes the concept and goals of smart transportation by autonomous vehicles on public roads. It provides guidelines for the successful introduction and organisation of autonomous vehicles, with the aim of enhancing the safety of public road transportation and addressing the challenges to cities such as an aging population and diverse travel demands.</p><p>This document focuses on the deployment of autonomous vehicles as an operational system for actual use on public roads. This document is intended for those in academia, autonomous vehicle developers, policy makers, research institutions, road infrastructure operators, public road administrators, testing inspection and certification bodies, and vehicle manufacturers.</p><p>NOTE 1   This document targets autonomous vehicle services except on-demand responsive services with shared vehicles. For on-demand responsive passenger services with shared vehicles, see ISO 37168.</p><p>NOTE 2   A bus vehicle is shared by different passenger groups and can be chartered. A taxi vehicle is hired and can, if local regulations permit, be shared by different passenger groups.</p>


name: iso-12813-2015-amd-1-2017
rev: 00
time: 2017-06-01
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.110574+00:00
source: iso
source_id: ISO 12813:2015/Amd 1:2017
source_url: https://www.iso.org/standard/ISO%2012813.html
doc_status: 9599
title:
  ISO 12813:2015/Amd 1:2017: Electronic fee collection — Compliance check communication for autonomous systems — Amendment 1

abstract:
  ISO/IEC standard: Electronic fee collection — Compliance check communication for autonomous systems — Amendment 1. Committee: ISO/TC 204.


name: iso-13141-2015-amd-1-2017
rev: 00
time: 2017-06-06
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.114018+00:00
source: iso
source_id: ISO 13141:2015/Amd 1:2017
source_url: https://www.iso.org/standard/ISO%2013141.html
doc_status: 9599
title:
  ISO 13141:2015/Amd 1:2017: Electronic fee collection — Localisation augmentation communication for autonomous systems — Amendment 1

abstract:
  ISO/IEC standard: Electronic fee collection — Localisation augmentation communication for autonomous systems — Amendment 1. Committee: ISO/TC 204.


name: iso-iec-dis-30754
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.117100+00:00
source: iso
source_id: ISO/IEC DIS 30754
source_url: https://www.iso.org/standard/ISO%2FIEC%20DIS%2030754.html
doc_status: 4098
title:
  ISO/IEC DIS 30754: Information technology — Software trustworthiness — Governance and management — Specification

abstract:
  ISO/IEC standard: Information technology — Software trustworthiness — Governance and management — Specification. Committee: ISO/IEC JTC 1.


name: iso-iec-tr-20547-1-2020
rev: 00
time: 2020-08-20
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.119991+00:00
source: iso
source_id: ISO/IEC TR 20547-1:2020
source_url: https://www.iso.org/standard/ISO%2FIEC%20TR%2020547-1.html
doc_status: 6060
title:
  ISO/IEC TR 20547-1:2020: Information technology — Big data reference architecture — Part 1: Framework and application process

abstract:
  <p>This document describes the framework of the big data reference architecture and the process for how a user of the document can apply it to their particular problem domain.</p>


name: iso-iec-tr-20547-2-2018
rev: 00
time: 2018-01-10
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.123029+00:00
source: iso
source_id: ISO/IEC TR 20547-2:2018
source_url: https://www.iso.org/standard/ISO%2FIEC%20TR%2020547-2.html
doc_status: 6060
title:
  ISO/IEC TR 20547-2:2018: Information technology — Big data reference architecture — Part 2: Use cases and derived requirements

abstract:
  <p>ISO/IEC TR 20547-2:2018 provides examples of big data use cases with application domains and technical considerations derived from the contributed use cases.</p>


name: iso-iec-20547-3-2020
rev: 00
time: 2020-03-04
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.126303+00:00
source: iso
source_id: ISO/IEC 20547-3:2020
source_url: https://www.iso.org/standard/ISO%2FIEC%2020547-3.html
doc_status: 9060
title:
  ISO/IEC 20547-3:2020: Information technology — Big data reference architecture — Part 3: Reference architecture

abstract:
  <p>This document specifies the big data reference architecture (BDRA). The reference architecture includes concepts and architectural views.</p><p>The reference architecture specified in this document defines two architectural viewpoints:</p><p>—     a user view defining roles/sub-roles, their relationships, and types of activities within a big data ecosystem;</p><p>—     a functional view defining the architectural layers and the classes of functional components within those layers that implement the activities of the roles/sub-roles within the user view.</p><p>The BDRA is intended to:</p><p>—     provide a common language for the various stakeholders;</p><p>—     encourage adherence to common standards, specifications, and patterns;</p><p>—     provide consistency of implementation of technology to solve similar problem sets;</p><p>—     facilitate the understanding of the operational intricacies in big data;</p><p>—     illustrate and understand the various big data components, processes, and systems, in the context of an overall big data conceptual model;</p><p>—     provide a technical reference for government departments, agencies and other consumers to understand, discuss, categorize and compare big data solutions; and</p><p>—     facilitate the analysis of candidate standards for interoperability, portability, reusability, and extendibility.</p>


name: iso-pwi-22133-1
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.129533+00:00
source: iso
source_id: ISO/PWI 22133-1
source_url: https://www.iso.org/standard/ISO%2FPWI%2022133-1.html
doc_status: 98
title:
  ISO/PWI 22133-1: Road vehicles — Test object monitoring and control for active safety and automated/autonomous vehicle testing — Part 1: Communication protocols and interfaces

abstract:
  ISO/IEC standard: Road vehicles — Test object monitoring and control for active safety and automated/autonomous vehicle testing — Part 1: Communication protocols and interfaces. Committee: ISO/TC 22.


name: iso-pwi-22133-2
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.132859+00:00
source: iso
source_id: ISO/PWI 22133-2
source_url: https://www.iso.org/standard/ISO%2FPWI%2022133-2.html
doc_status: 98
title:
  ISO/PWI 22133-2: Road vehicles — Test object monitoring and control for active safety and automated/autonomous vehicle testing — Part 2: Test scenario description formats

abstract:
  ISO/IEC standard: Road vehicles — Test object monitoring and control for active safety and automated/autonomous vehicle testing — Part 2: Test scenario description formats. Committee: ISO/TC 22.


name: iso-iec-tr-20547-5-2018
rev: 00
time: 2018-02-09
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.135791+00:00
source: iso
source_id: ISO/IEC TR 20547-5:2018
source_url: https://www.iso.org/standard/ISO%2FIEC%20TR%2020547-5.html
doc_status: 6060
title:
  ISO/IEC TR 20547-5:2018: Information technology — Big data reference architecture — Part 5: Standards roadmap

abstract:
  <p>ISO/IEC TR 20547-5:2018 describes big data relevant standards, both in existence and under development, along with priorities for future big data standards development based on gap analysis.</p>


name: iso-22733-1-2021
rev: 00
time: 2021-07-23
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.139214+00:00
source: iso
source_id: ISO 22733-1:2021
source_url: https://www.iso.org/standard/ISO%2022733-1.html
doc_status: 9599
title:
  ISO 22733-1:2021: Road vehicles — Test method to evaluate the performance of autonomous emergency braking systems — Part 1: Car-to-car

abstract:
  <p>This document specifies a method to evaluate the behaviour of a vehicle equipped with an autonomous emergency braking system (AEBS), or dynamic brake support (DBS) during several accident scenarios. Those accidents occur during a straight-line driving when the vehicle under test (VUT) approaches another vehicle in the same lane. Both vehicles are aligned in longitudinal axis to each other.</p><p>The most important part of the vehicle behaviour during these accidents scenarios is the capacity to avoid or mitigate the collision.</p><p>Systems requiring driver intervention are not in the scope of this document.</p><p>NOTE      Depending on accidentology, only a part of the scenarios can be used for an evaluation of performance. AEB system evaluation based upon this document is limited to longitudinal accident scenarios.</p>


name: iso-12813-2015-cd-amd-2
rev: 00
time: 2015/CD Amd 2
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.142156+00:00
source: iso
source_id: ISO 12813:2015/CD Amd 2
source_url: https://www.iso.org/standard/ISO%2012813.html
doc_status: 3098
title:
  ISO 12813:2015/CD Amd 2: Electronic fee collection — Compliance check communication for autonomous systems — Amendment 2

abstract:
  ISO/IEC standard: Electronic fee collection — Compliance check communication for autonomous systems — Amendment 2. Committee: ISO/TC 204.


name: iso-12813-2019
rev: 00
title: ISO 12813:2019: Electronic fee collection — Compliance check communication for autonomous systems
time: 2019-11-15
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.145091+00:00
source: iso
source_id: ISO 12813:2019
source_url: https://www.iso.org/standard/ISO%2012813.html
doc_status: 9599
abstract:
  <p>This document defines requirements for short-range communication for the purposes of compliance checking in autonomous electronic fee collecting systems. Compliance checking communication (CCC) takes place between a road vehicle's on-board equipment (OBE) and an interrogator (roadside mounted equipment, mobile device or hand-held unit), and serves to establish whether the data that are delivered by the OBE correctly reflect the road usage of the corresponding vehicle according to the rules of the pertinent toll regime.</p><p>The operator of the compliance checking interrogator is assumed to be part of the toll charging role as defined in ISO 17573-1. The CCC permits identification of the OBE, vehicle and contract, and verification of whether the driver has fulfilled his obligations and the checking status and performance of the OBE. The CCC reads, but does not write, OBE data.</p><p>This document is applicable to OBE in an autonomous mode of operation; it is not applicable to compliance checking in dedicated short-range communication (DSRC)-based charging systems.</p><p>It defines data syntax and semantics, but not a communication sequence. All the attributes defined herein are required in any OBE claimed to be compliant with this document, even if some values are set to 'not defined' in cases where certain functionality is not present in an OBE. The interrogator is free to choose which attributes are read in the data retrieval phase, as well as the sequence in which they are read. In order to achieve compatibility with existing systems, the communication makes use of the attributes defined in ISO 14906 wherever useful.</p><p>The CCC is suitable for a range of short-range communication media. Specific definitions are given for the CEN-DSRC as specified in EN 15509, as well as for the use of ISO CALM IR, the Italian DSRC as specified in ETSI ES 200 674-1, ARIB DSRC and WAVE DSRC as alternatives to the CEN-DSRC. The attributes and functions defined are for complian


name: iso-17757-2019
rev: 00
time: 2019-07-30
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.148365+00:00
source: iso
source_id: ISO 17757:2019
source_url: https://www.iso.org/standard/ISO%2017757.html
doc_status: 9093
title:
  ISO 17757:2019: Earth-moving machinery and mining — Autonomous and semi-autonomous machine system safety

abstract:
  <p>This document provides safety requirements for autonomous machines and semi-autonomous machines (ASAM) used in earth-moving and mining operations, and their autonomous or semi-autonomous machine systems (ASAMS). It specifies safety criteria both for the machines and their associated systems and infrastructure, including hardware and software, and provides guidance on safe use in their defined functional environments during the machine and system life cycle. It also defines terms and definitions related to ASAMS.</p><p>It is applicable to autonomous and semi-autonomous versions of the earth-moving machinery (EMM) defined in ISO 6165 and of mobile mining machines used in either surface or underground applications. Its principles and many of its provisions can be applied to other types of ASAM used on the worksites.</p><p>Safety requirements for general mobile EMM and mining machines, as well as operators, trainers or passengers on the machine, are given by other International Standards (e.g. ISO 20474, ISO 19296). This document addresses additional hazards specific and relevant to ASAMS when used as intended.</p><p>It is not applicable to remote control capability (covered by ISO 15817) or function-specific automated features, except when those features are used as part of ASAMS.</p>


name: iso-iec-np-23615
rev: 00
title: ISO/IEC NP 23615: Neural network representation and model compression
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.154599+00:00
source: iso
source_id: ISO/IEC NP 23615
source_url: https://www.iso.org/standard/ISO%2FIEC%20NP%2023615.html
doc_status: 1098
abstract:
  ISO/IEC standard: Neural network representation and model compression. Committee: ISO/IEC JTC 1/SC 42.


name: iso-tr-9241-810-2020
rev: 00
time: 2020-09-02
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.157710+00:00
source: iso
source_id: ISO/TR 9241-810:2020
source_url: https://www.iso.org/standard/ISO%2FTR%209241-810.html
doc_status: 6060
title:
  ISO/TR 9241-810:2020: Ergonomics of human-system interaction — Part 810: Robotic, intelligent and autonomous systems

abstract:
  <p>This document addresses:</p><p>—     physically embodied RIA systems, such as robots and autonomous vehicles with which users will physically interact;</p><p>—     systems embedded within the physical environment with which users do not consciously interact, but which collect data and/or modify the environment within which people live or work such as smart building and, mood-detection;</p><p>—     intelligent software tools and agents with which users actively interact through some form of user interface;</p><p>—     intelligent software agents which act without active user input to modify or tailor the systems to the user's behaviour, task or some other purpose, including providing context specific content/information, tailoring adverts to a user based on information about them, user interfaces that adapt to the cognitive or physiological state, 'ambient intelligence';</p><p>—     the effect on users resulting from the combined interaction of several RIA systems such as conflicting behaviours between the RIA systems under the same circumstances;</p><p>—     the complex system-of-systems and sociotechnical impacts of the use of RIA systems, particularly on society and government.</p><p>This document is not an exploration of the philosophical, ethical or political issues surrounding robotics, artificial intelligence, machine learning, and intelligent machines or environments. For matters of ethics and political issues, see standards such as BS 8611 and IEC P7000. However, this document does identify where and why ethical issues need to be taken into account for a wide range of systems and contexts, and as such it provides information relevant to the broader debate regarding RIA systems.</p><p>This document has a broader focus than much of the early work on autonomy that relates to the automation of control tasks and mechanization of repetitive physical or cognitive tasks, and centres on levels of automation.</p><p>Although this document addresses a wide range of t


name: iso-23725-2024
rev: 00
title: ISO 23725:2024: Autonomous system and fleet management system interoperability
time: 2024-08-06
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.160886+00:00
source: iso
source_id: ISO 23725:2024
source_url: https://www.iso.org/standard/ISO%2023725.html
doc_status: 6060
abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document defines the interfaces required between the fleet management (FMS) and autonomous haulage (AHS) systems for dispatch of haul trucks and coordination of production information, including communication protocols, message structures, telemetry signals, map sharing and task assignments.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document applies to surface mining. It specifies requirements and recommendations to achieve the following:</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>realtime computer system communication;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>message definition and semantic;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>mine map sharing;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>truck dispatching;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLis


name: iso-ts-23860-2022
rev: 00
title: ISO/TS 23860:2022: Ships and marine technology — Vocabulary related to autonomous ship systems
time: 2022-05-25
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.163938+00:00
source: iso
source_id: ISO/TS 23860:2022
source_url: https://www.iso.org/standard/ISO%2FTS%2023860.html
doc_status: 9060
abstract:
  <p>This document defines terminology related to autonomous ship systems, which includes ships that can be classified as a “Maritime Autonomous Surface Ship” (MASS) according to the preliminary definitions from the International Maritime Organization (IMO). Autonomous ship system can also be applied to similar ship types for use on inland waterways.</p>


name: iso-iec-tr-24027-2021
rev: 00
time: 2021-11-05
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.167113+00:00
source: iso
source_id: ISO/IEC TR 24027:2021
source_url: https://www.iso.org/standard/ISO%2FIEC%20TR%2024027.html
doc_status: 6060
title:
  ISO/IEC TR 24027:2021: Information technology — Artificial intelligence (AI) — Bias in AI systems and AI aided decision making

abstract:
  <p>This document addresses bias in relation to AI systems, especially with regards to AI-aided decision-making. Measurement techniques and methods for assessing bias are described, with the aim to address and treat bias-related vulnerabilities. All AI system lifecycle phases are in scope, including but not limited to data collection, training, continual learning, design, testing, evaluation and use.</p>


name: iso-tr-24291-2021
rev: 00
time: 2021-03-26
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.169984+00:00
source: iso
source_id: ISO/TR 24291:2021
source_url: https://www.iso.org/standard/ISO%2FTR%2024291.html
doc_status: 6060
title:
  ISO/TR 24291:2021: Health informatics — Applications of machine learning technologies in imaging and other medical applications

abstract:
  <p>This document lists examples of and defines categories of use cases for machine learning in medicine for clinical practice. </p><p>The developments and applications of machine learning technologies for artificial intelligence consist of 1) data collection and curation, 2) pre-processing, 3) model training and validation, and 4) medicine depending on various kinds of specialty including radiology, pathology, emergency medicine, dermatology, ophthalmology, anaesthesia, surgery, etc., and clinical settings including repeated detection and/or diagnosis, real-time monitoring, and treatment prediction.</p><p>This document covers categories applications of medicine in (4). It also defines the clinical usages and necessities of the artificial intelligence in medicine. </p><p>(1) to (3) are not the scope of this document</p><p>This document also excludes</p><p>—     basic research and other scientific areas,</p><p>—     use cases related to artificial intelligence methods other than machine learning (for example, symbolic artificial intelligence, expert systems), and</p><p>—     non-human results such as veterinary medicine.</p>


name: iso-iec-24668-2022
rev: 00
time: 2022-11-17
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.172970+00:00
source: iso
source_id: ISO/IEC 24668:2022
source_url: https://www.iso.org/standard/ISO%2FIEC%2024668.html
doc_status: 6060
title:
  ISO/IEC 24668:2022: Information technology — Artificial intelligence — Process management framework for big data analytics

abstract:
  <p>This document provides a framework for developing processes to effectively leverage big data analytics across the organization irrespective of the industries or sectors.</p><p>This document specifies process management for big data analytics with its various process categories taken into account along with their interconnectivities. These process categories are organization stakeholder processes, competency development processes, data management processes, analytics development processes and technology integration processes. This document describes processes to acquire, describe, store and process data at an organization level which provides big data analytics services.</p>


name: iso-iec-15938-17-2022
rev: 00
time: 2022-08-26
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.176255+00:00
source: iso
source_id: ISO/IEC 15938-17:2022
source_url: https://www.iso.org/standard/ISO%2FIEC%2015938-17.html
doc_status: 9599
title:
  ISO/IEC 15938-17:2022: Information technology — Multimedia content description interface — Part 17: Compression of neural networks for multimedia content description and analysis

abstract:
  <p>This document specifies Neural Network Coding (NNC) as a compressed representation of the parameters/weights of a trained neural network and a decoding process for the compressed representation, complementing the description of the network topology in existing (exchange) formats for neural networks. It establishes a toolbox of compression methods, specifying (where applicable) the resulting elements of the compressed bitstream.</p><p>This document does not specify a complete protocol for the transmission of neural networks, but focuses on compression of network parameters. Only the syntax format, semantics, associated decoding process requirements, parameter sparsification, parameter transformation methods, parameter quantization, entropy coding method and integration/signalling within existing exchange formats are specified, while other matters such as pre-processing, system signalling and multiplexing, data loss recovery and post-processing are considered to be outside the scope of this document. Additionally, the internal processing steps performed within a decoder are also considered to be outside the scope of this document; only the externally observable output behaviour is required to conform to the specifications of this document.</p>


name: iso-iec-tr-24368-2022
rev: 00
time: 2022-08-19
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.179325+00:00
source: iso
source_id: ISO/IEC TR 24368:2022
source_url: https://www.iso.org/standard/ISO%2FIEC%20TR%2024368.html
doc_status: 6060
title:
  ISO/IEC TR 24368:2022: Information technology — Artificial intelligence — Overview of ethical and societal concerns

abstract:
  <p>This document provides a high-level overview of AI ethical and societal concerns.</p><p>In addition, this document:</p><p>—    provides information in relation to principles, processes and methods in this area;</p><p>—    is intended for technologists, regulators, interest groups, and society at large;</p><p>—    is not intended to advocate for any specific set of values (value systems).</p><p>This document includes an overview of International Standards that address issues arising from AI ethical and societal concerns.</p>


name: iso-iec-tr-24372-2021
rev: 00
time: 2021-12-07
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.182385+00:00
source: iso
source_id: ISO/IEC TR 24372:2021
source_url: https://www.iso.org/standard/ISO%2FIEC%20TR%2024372.html
doc_status: 6060
title:
  ISO/IEC TR 24372:2021: Information technology — Artificial intelligence (AI) — Overview of computational approaches for AI systems

abstract:
  <p>This document provides an overview of the state of the art of computational approaches for AI systems, by describing: a) main computational characteristics of AI systems; b) main algorithms and approaches used in AI systems, referencing use cases contained in ISO/IEC TR 24030.</p>


name: iso-ts-22133-2023
rev: 00
time: 2023-03-30
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.185153+00:00
source: iso
source_id: ISO/TS 22133:2023
source_url: https://www.iso.org/standard/ISO%2FTS%2022133.html
doc_status: 9599
title:
  ISO/TS 22133:2023: Road vehicles — Test object monitoring and control for active safety and automated/autonomous vehicle testing — Functional requirements, specifications and communication protocol

abstract:
  <p class='MsoNormal'><span lang='EN-GB'>This document specifies requirements, procedures and message formats for controlling and monitoring of test targets, used for testing of active safety functions and autonomous vehicles. </span></p><p class='MsoNormal'><span lang='EN-GB'>The document specifies functionality and messaging for monitoring and controlling of test objects by a control centre facilitating an interoperable test object environment. </span><span lang='EN-GB' style='mso-bidi-font-size: 9.0pt;'>This document defines a communication protocol which allows for the control centre to safely execute tests using test objects from multiple vendors.</span></p><p class='MsoNormal'><span lang='EN-GB'>This document does not specify the internal architecture of the test object nor control centre.</span></p><p class='MsoNormal'><span lang='EN-GB'>This document does not specify how testing of the vehicles shall be performed.</span></p>


name: iso-pwi-3510
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.238559+00:00
source: iso
source_id: ISO/PWI 3510
source_url: https://www.iso.org/standard/ISO%2FPWI%203510.html
doc_status: 98
title:
  ISO/PWI 3510: Specification of interoperability of teleoperated, autonomous, and manned mining equipment

abstract:
  ISO/IEC standard: Specification of interoperability of teleoperated, autonomous, and manned mining equipment. Committee: ISO/TC 82/SC 8.


name: iso-iec-ts-4213-2022
rev: 00
time: 2022-10-13
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.244110+00:00
source: iso
source_id: ISO/IEC TS 4213:2022
source_url: https://www.iso.org/standard/ISO%2FIEC%20TS%204213.html
doc_status: 9092
title:
  ISO/IEC TS 4213:2022: Information technology — Artificial intelligence — Assessment of machine learning classification performance

abstract:
  <p>This document specifies methodologies for measuring classification performance of machine learning models, systems and algorithms.</p>


name: iso-iec-24029-2-2023
rev: 00
time: 2023-08-01
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.247069+00:00
source: iso
source_id: ISO/IEC 24029-2:2023
source_url: https://www.iso.org/standard/ISO%2FIEC%2024029-2.html
doc_status: 6060
title:
  ISO/IEC 24029-2:2023: Artificial intelligence (AI) — Assessment of the robustness of neural networks — Part 2: Methodology for the use of formal methods

abstract:
  <p class='MsoBodyText' style='mso-layout-grid-align: none; text-autospace: none;'><span lang='EN-GB' style='mso-bidi-font-size: 12.0pt;'>This document provides methodology for the use of formal methods to assess robustness properties of neural networks. The document focuses on how to select, apply and manage formal methods to prove robustness properties.</span></p>


name: iso-iec-tr-27563-2023
rev: 00
title: ISO/IEC TR 27563:2023: Security and privacy in artificial intelligence use cases — Best practices
time: 2023-05-25
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.249952+00:00
source: iso
source_id: ISO/IEC TR 27563:2023
source_url: https://www.iso.org/standard/ISO%2FIEC%20TR%2027563.html
doc_status: 6060
abstract:
  <p class='MsoBodyText' style='mso-layout-grid-align: none; text-autospace: none;'><span lang='EN-GB' style='mso-bidi-font-size: 12.0pt;'>This document outlines best practices on assessing security and privacy in artificial intelligence use cases, covering in particular those published in <span class='stdpublisher'><span style='color: black; mso-color-alt: windowtext;'>ISO/IEC</span></span> <span class='stddocumentType'><span style='color: black; mso-color-alt: windowtext;'>TR</span></span> <span class='stddocNumber'><span style='color: black; mso-color-alt: windowtext;'>24030</span></span>.</span></p><p class='MsoBodyText' style='mso-layout-grid-align: none; text-autospace: none;'><span lang='EN-GB' style='mso-bidi-font-size: 12.0pt;'>The following aspects are addressed:</span></p><p class='ListContinue1' style='tab-stops: 19.85pt 39.7pt 59.55pt 79.4pt 99.25pt 119.05pt 138.9pt 158.75pt 178.6pt 7.0cm; mso-layout-grid-align: none; text-autospace: none;'><span lang='EN-GB' style='mso-bidi-font-size: 12.0pt;'>—<span style='mso-tab-count: 1;'>    </span>an overall assessment of security and privacy on the AI system of interest;</span></p><p class='ListContinue1' style='tab-stops: 19.85pt 39.7pt 59.55pt 79.4pt 99.25pt 119.05pt 138.9pt 158.75pt 178.6pt 7.0cm; mso-layout-grid-align: none; text-autospace: none;'><span lang='EN-GB' style='mso-bidi-font-size: 12.0pt;'>—<span style='mso-tab-count: 1;'>    </span>security and privacy concerns;</span></p><p class='ListContinue1' style='tab-stops: 19.85pt 39.7pt 59.55pt 79.4pt 99.25pt 119.05pt 138.9pt 158.75pt 178.6pt 7.0cm; mso-layout-grid-align: none; text-autospace: none;'><span lang='EN-GB' style='mso-bidi-font-size: 12.0pt;'>—<span style='mso-tab-count: 1;'>    </span>security and privacy risks;</span></p><p class='ListContinue1' style='tab-stops: 19.85pt 39.7pt 59.55pt 79.4pt 99.25pt 119.05pt 138.9pt 158.75pt 178.6pt 7.0cm; mso-layout-grid-align: none; text-autospace: none;'><span lang='EN-GB' style='mso-bidi-font-size: 12.0


name: iso-ts-42501-2022
rev: 00
time: 2022-10-06
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.252747+00:00
source: iso
source_id: ISO/TS 42501:2022
source_url: https://www.iso.org/standard/ISO%2FTS%2042501.html
doc_status: 9092
title:
  ISO/TS 42501:2022: Sharing economy — General trustworthiness and safety requirements for digital platforms

abstract:
  <p>This document specifies general trustworthiness and safety requirements applicable to operators of digital platforms within the sharing economy. While this document does not cover system requirements for digital platforms, the document is still beneficial for system development.</p>


name: iso-iec-25059-2023
rev: 00
time: 2023-06-28
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.255509+00:00
source: iso
source_id: ISO/IEC 25059:2023
source_url: https://www.iso.org/standard/ISO%2FIEC%2025059.html
doc_status: 9092
title:
  ISO/IEC 25059:2023: Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Quality model for AI systems

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document outlines a quality model for AI systems and is an application-specific extension to the standards on SQuaRE. The characteristics and sub-characteristics detailed in the model provide consistent terminology for specifying, measuring and evaluating AI system quality. The characteristics and sub-characteristics detailed in the model also provide a set of quality characteristics against which stated quality requirements can be compared for completeness.</span></p>


name: iso-iec-wd-ts-23220-6
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.261242+00:00
source: iso
source_id: ISO/IEC WD TS 23220-6
source_url: https://www.iso.org/standard/ISO%2FIEC%20WD%20TS%2023220-6.html
doc_status: 2098
title:
  ISO/IEC WD TS 23220-6: Cards and security devices for personal identification — Building blocks for identity management via mobile devices — Part 6: Mechanism for use of certification on trustworthiness of secure area

abstract:
  ISO/IEC standard: Cards and security devices for personal identification — Building blocks for identity management via mobile devices — Part 6: Mechanism for use of certification on trustworthiness of secure area. Committee: ISO/IEC JTC 1/SC 17.


name: iso-tr-22100-5-2021
rev: 00
time: 2021-01-22
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.264035+00:00
source: iso
source_id: ISO/TR 22100-5:2021
source_url: https://www.iso.org/standard/ISO%2FTR%2022100-5.html
doc_status: 6060
title:
  ISO/TR 22100-5:2021: Safety of machinery — Relationship with ISO 12100 — Part 5: Implications of artificial intelligence machine learning

abstract:
  <p>This document addresses how artificial intelligence machine learning can impact the safety of machinery and machinery systems.</p><p>This document describes how hazards being associated with artificial intelligence (AI) applications machine learning in machinery or machinery systems, and designed to act within specific limits, can be considered in the risk assessment process.</p><p>This document is not applicable to machinery or machinery systems with AI applications machine learning designed to act beyond specified limits that can result in unpredictable effects.</p><p>This document does not address safety systems with AI, for example, safety-related sensors and other safety-related parts of control systems.</p>


name: iso-iec-5259-1-2024
rev: 00
time: 2024-07-02
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.266897+00:00
source: iso
source_id: ISO/IEC 5259-1:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%205259-1.html
doc_status: 6060
title:
  ISO/IEC 5259-1:2024: Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document provides the means for understanding and associating the individual documents of the ISO/IEC 5259 series and is the foundation for conceptual understanding of data quality for analytics and machine learning. It also discusses associated technologies and examples (e.g. use cases and usage scenarios).</span></p>


name: iso-iec-5259-3-2024
rev: 00
time: 2024-07-02
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.272033+00:00
source: iso
source_id: ISO/IEC 5259-3:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%205259-3.html
doc_status: 6060
title:
  ISO/IEC 5259-3:2024: Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies requirements and provides guidance for establishing, implementing, maintaining and continually improving the quality of data used in the areas of analytics and machine learning.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document does not define a detailed process, methods or metrics. Rather it defines the requirements and guidance for a quality management process along with a reference process and methods that can be tailored to meet the requirements in this document.</span></p><p class='MsoBodyText'><span lang='EN-GB'>The requirements and recommendations set out in this document are generic and are intended to be applicable to all organizations, regardless of type, size or nature.</span></p>


name: iso-iec-5259-4-2024
rev: 00
time: 2024-07-15
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.274940+00:00
source: iso
source_id: ISO/IEC 5259-4:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%205259-4.html
doc_status: 6060
title:
  ISO/IEC 5259-4:2024: Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document establishes general common organizational approaches, regardless of the type, size or nature of the applying organization, to ensure data quality for training and evaluation in analytics and machine learning (ML). It includes guidance on the data quality process for:</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>supervised ML with regard to the labelling of data used for training ML systems, including common organizational approaches for training data labelling;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>unsupervised ML;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>semi-supervised ML;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>reinforcement learning;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-fo


name: iso-iec-5392-2024
rev: 00
time: 2024-03-15
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.278377+00:00
source: iso
source_id: ISO/IEC 5392:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%205392.html
doc_status: 6060
title:
  ISO/IEC 5392:2024: Information technology — Artificial intelligence — Reference architecture of knowledge engineering

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document defines a reference architecture of knowledge engineering (KE) in artificial intelligence (AI). The reference architecture describes KE roles, activities, constructional layers, components and their relationships amongst themselves and other systems from systemic user and functional views. This document also provides a common KE vocabulary by defining KE terms.</span></p>


name: iso-iec-tr-5469-2024
rev: 00
title: ISO/IEC TR 5469:2024: Artificial intelligence — Functional safety and AI systems
time: 2024-01-08
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.281484+00:00
source: iso
source_id: ISO/IEC TR 5469:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%20TR%205469.html
doc_status: 6060
abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document describes the properties, related risk factors, available methods and processes relating to:</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>use of AI inside a safety related function to realize the functionality;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>use of non-AI safety related functions to ensure safety for an AI controlled equipment;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>use of AI systems to design and develop safety related functions.</span></p>


name: iso-np-ts-18759
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.284807+00:00
source: iso
source_id: ISO/NP TS 18759
source_url: https://www.iso.org/standard/ISO%2FNP%20TS%2018759.html
doc_status: 1098
title:
  ISO/NP TS 18759: Document management — Trustworthy storage system (TSS) functional and technical requirements

abstract:
  ISO/IEC standard: Document management — Trustworthy storage system (TSS) functional and technical requirements. Committee: ISO/TC 171/SC 2.


name: iso-22733-2-2023
rev: 00
time: 2023-11-02
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.287949+00:00
source: iso
source_id: ISO 22733-2:2023
source_url: https://www.iso.org/standard/ISO%2022733-2.html
doc_status: 6060
title:
  ISO 22733-2:2023: Road vehicles — Test method to evaluate the performance of autonomous emergency braking systems — Part 2: Car to pedestrian

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies test methods to evaluate performance of the autonomous emergency braking system (AEBS) in car to pedestrian collision situations. Forward collision warning system (FCWS) is part of AEBS when it provides warning before braking intervention.</span></p><p class='MsoBodyText'><span lang='EN-GB'>Vehicle to pedestrian accidents occur when a vehicle under test (VUT) drives in straight line and either a pedestrian walks longitudinal on the same road or the pedestrian is approaching perpendicular the road.</span></p><p class='MsoBodyText'><span lang='EN-GB'>A system requiring a driver intervention is not in scope of this document.</span></p><p class='Note'><span lang='EN-GB'>NOTE<span style='mso-tab-count: 1;'>            </span>Depending on accidentology only a part of the scenarios can be used for an evaluation of performance.</span></p>


name: iso-iec-ts-5723-2022
rev: 00
title: ISO/IEC TS 5723:2022: Trustworthiness — Vocabulary
time: 2022-07-22
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.291655+00:00
source: iso
source_id: ISO/IEC TS 5723:2022
source_url: https://www.iso.org/standard/ISO%2FIEC%20TS%205723.html
doc_status: 9060
abstract:
  <p>This document provides a definition of trustworthiness for systems and their associated services, along with a selected set of their characteristics.</p>


name: iso-iec-5259-2-2024
rev: 00
time: 2024-11-05
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.295146+00:00
source: iso
source_id: ISO/IEC 5259-2:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%205259-2.html
doc_status: 6060
title:
  ISO/IEC 5259-2:2024: Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies a data quality model, data quality measures and guidance on reporting data quality in the context of analytics and machine learning (ML).</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document is applicable to all types of organizations who want to achieve their data quality objectives.</span></p>


name: iso-iec-ts-6254-2025
rev: 00
time: 2025-09-05
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.300862+00:00
source: iso
source_id: ISO/IEC TS 6254:2025
source_url: https://www.iso.org/standard/ISO%2FIEC%20TS%206254.html
doc_status: 6060
title:
  ISO/IEC TS 6254:2025: Information technology — Artificial intelligence — Objectives and approaches for explainability and interpretability of machine learning (ML) models and artificial intelligence (AI) systems

abstract:
  <p class='MsoBodyText' style='mso-layout-grid-align: none; text-autospace: none;'><span lang='EN-GB' style='mso-bidi-font-size: 12.0pt; mso-fareast-font-family: KoPub바탕체;'>This document describes approaches and methods that can be used to achieve explainability objectives of stakeholders with regard to machine learning (ML) models and artificial intelligence (AI) systems’ behaviours, outputs and results. Stakeholders include but are not limited to, academia, industry, policy makers and end users. It provides guidance concerning the applicability of the described approaches and methods to the identified objectives throughout the AI system’s life cycle, as defined in </span><span class='stdpublisher'><span lang='EN-GB' style='mso-bidi-font-size: 12.0pt; color: black; mso-color-alt: windowtext;'>ISO/IEC</span></span><span lang='EN-GB' style='mso-bidi-font-size: 12.0pt; mso-fareast-font-family: KoPub바탕체;'> <span class='stddocNumber'><span style='color: black; mso-color-alt: windowtext;'>22989</span></span>.</span></p>


name: iso-ts-18759-2022
rev: 00
time: 2022-08-26
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.303998+00:00
source: iso
source_id: ISO/TS 18759:2022
source_url: https://www.iso.org/standard/ISO%2FTS%2018759.html
doc_status: 9093
title:
  ISO/TS 18759:2022: Document management — Trustworthy storage system (TSS) — Functional and technical requirements

abstract:
  <p>This document specifies the functional, technology-neutral requirements for trustworthy storage systems (TSS) that ensure storing and managing electronically stored information (ESI) in a protected and secure fashion during the lifecycle of the information. The TSS as specified in this document is storage technology neutral and accordingly does not specify any specific storage media types or configurations.</p><p>This document is applicable to all information systems in which users and applications must manage the protection, preservation and security of stored ESI throughout its entire lifecycle to meet organizational and regulatory requirements to enforce:</p><p>—    immutability, authenticity and trustworthiness of the stored ESI;</p><p>—    protection of application managed ESI and other stored ESI against tampering, malicious acts and ransomware;</p><p>—    organizational ESI preservation and retention policies;</p><p>—    protection for unstructured and unmanaged data.</p>


name: iso-iec-ts-25058-2024
rev: 00
time: 2024-01-24
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.307516+00:00
source: iso
source_id: ISO/IEC TS 25058:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%20TS%2025058.html
doc_status: 9092
title:
  ISO/IEC TS 25058:2024: Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Guidance for quality evaluation of artificial intelligence (AI) systems

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document provides guidance for evaluation of artificial intelligence (AI) systems using an AI system quality model.</span></p><p class='MsoBodyText'><span lang='EN-GB'>The document is applicable to all types of organizations engaged in the development and use of AI.</span></p>


name: iso-18497-1-2024
rev: 00
time: 2024-07-31
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.311160+00:00
source: iso
source_id: ISO 18497-1:2024
source_url: https://www.iso.org/standard/ISO%2018497-1.html
doc_status: 6060
title:
  ISO 18497-1:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomous and autonomous machinery — Part 1: Machine design principles and vocabulary

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies principles for the design of agricultural machinery and tractors that are used in agricultural applications and that have partially automated, semi-autonomous and autonomous functions. Additionally, it provides guidance on the type of information to be provided by the manufacturer on safe working practices (including information about residual risks).</span></p><p class='MsoBodyText'><span lang='EN-GB'>The purpose of this document is to assist in the provision of more specific safety requirements, means of verification and information for use to ensure an appropriate level of safety for agricultural machinery and tractors with partially automated, semi-autonomous and autonomous functions used in a specified way.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document deals with the significant hazards relevant to agricultural machinery and tractors with partially automated, semi-autonomous and autonomous functions when used as intended and under the conditions of misuse reasonably foreseeable by the manufacturer during normal operation and service.</span></p><p class='MsoBodyText'><span lang='EN-GB'>Applicability of the design principles and any additional detailed requirements for design, verification, validation or information for use are outside the scope of this document. When risk assessment concludes that hazards are not significant hazards, the principles of this document do not apply.</span></p><p class='Note'><span lang='EN-GB'>NOTE<span style='mso-tab-count: 1;'>          </span>Safety requirements for specific non-automated functions of agricultural machinery and tractors can be available in machine-specific type-C standards.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document is not applicable to:</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-fa


name: iso-18497-2-2024
rev: 00
time: 2024-07-31
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.314253+00:00
source: iso
source_id: ISO 18497-2:2024
source_url: https://www.iso.org/standard/ISO%2018497-2.html
doc_status: 6060
title:
  ISO 18497-2:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomous and autonomous machinery — Part 2: Design principles for obstacle protection systems

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies principles for the design of obstacle protective systems used in agricultural machinery and tractors that are used in agricultural applications and that have partially automated, semi-autonomous and autonomous functions. Additionally, it provides guidance on the type of information to be provided by the manufacturer on safe working practices (including information about residual risks).</span></p><p class='MsoBodyText'><span lang='EN-GB'>The purpose of this document is to assist in the provision of more specific safety requirements, means of verification and information for use to ensure an appropriate level of safety for agricultural machinery and tractors with partially automated, semi-autonomous and autonomous functions used in a specified way.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document deals with the significant hazards relevant to agricultural machinery and tractors with partially automated, semi-autonomous and autonomous functions when used as intended and under the conditions of misuse reasonably foreseeable by the manufacturer during normal operation and service.</span></p><p class='MsoBodyText'><span lang='EN-GB'>Applicability of the design principles and any additional detailed requirements for design, verification, validation or information for use are outside the scope of this document. When risk assessment concludes that hazards are not significant hazards, the principles of this document do not apply.</span></p><p class='Note'><span lang='EN-GB'>NOTE<span style='mso-tab-count: 1;'>          </span>Safety requirements for specific non-automated functions of agricultural machinery and tractors can be available in machine-specific type-C standards.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document is not applicable to:</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-fo


name: iso-18497-3-2024
rev: 00
time: 2024-07-31
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.317446+00:00
source: iso
source_id: ISO 18497-3:2024
source_url: https://www.iso.org/standard/ISO%2018497-3.html
doc_status: 6060
title:
  ISO 18497-3:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomous and autonomous machinery — Part 3: Autonomous operating zones

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies principles for the design of agricultural machinery and tractors utilizing systems (perception, supervisory or other) to prevent unintended excursions beyond the boundary of the autonomous operating zone which are used in agricultural applications and that have partially automated, semi-autonomous and autonomous functions. Additionally, it provides guidance on the type of information to be provided by the manufacturer on safe working practices (including information about residual risks).</span></p><p class='MsoBodyText'><span lang='EN-GB'>The autonomous operating zone itself is not within the scope of this document. The autonomous operating zone can include, for example, considerations for the autonomous operating zone location, physical or virtual boundaries, physical boundary types (natural or man-made) and the associated risks with the systems (perception, supervisory or other) to prevent unintended excursions beyond the boundary of the autonomous operating zone design.</span></p><p class='MsoBodyText'><span lang='EN-GB'>The purpose of this document is to assist in the provision of more specific safety requirements, means of verification and information for use to ensure an appropriate level of safety for agricultural machinery and tractors with partially automated, semi-autonomous and autonomous functions used in a specified way.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document deals with the significant hazards relevant to agricultural machinery and tractors with partially automated, semi-autonomous and autonomous functions when used as intended and under the conditions of misuse reasonably foreseeable by the manufacturer during normal operation and service.</span></p><p class='MsoBodyText'><span lang='EN-GB'>Applicability of the design principles and any additional detailed requirements for design, verification, validation or information for use are outside the scope of this do


name: iso-18497-4-2024
rev: 00
time: 2024-07-31
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.320526+00:00
source: iso
source_id: ISO 18497-4:2024
source_url: https://www.iso.org/standard/ISO%2018497-4.html
doc_status: 6060
title:
  ISO 18497-4:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomous and autonomous machinery — Part 4: Verification methods and validation principles

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies principles for verification methods and validation principles of agricultural machinery and tractors that are used in agricultural applications and that have partially automated, semi-autonomous and autonomous functions.</span></p><p class='MsoBodyText'><span lang='EN-GB'>The purpose of this document is to assist in the provision of more specific safety requirements, means of verification and information for use to ensure an appropriate level of safety for agricultural machinery and tractors with partially automated, semi-autonomous and autonomous functions used in a specified way.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document deals with the significant hazards relevant to agricultural machinery and tractors with partially automated, semi-autonomous and autonomous functions when used as intended and under the conditions of misuse reasonably foreseeable by the manufacturer during normal operation and service.</span></p><p class='MsoBodyText'><span lang='EN-GB'>Applicability of the design principles and any additional requirements, for design, verification, validation or information for use are outside the scope of this document. When risk assessment concludes that hazards are not significant hazards, the principles of this document do not apply.</span></p><p class='Note'><span lang='EN-GB'>NOTE<span style='mso-tab-count: 1;'>          </span>Safety requirements for specific non-automated functions of agricultural machinery and tractors can be available in machine-specific type-C standards.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document is not applicable to:</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span l


name: iso-pwi-18497-5
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.323823+00:00
source: iso
source_id: ISO/PWI 18497-5
source_url: https://www.iso.org/standard/ISO%2FPWI%2018497-5.html
doc_status: 98
title:
  ISO/PWI 18497-5: Agricultural machinery and tractors — Safety of partially automated, semi-autonomous and autonomous machinery — Part 5: open

abstract:
  ISO/IEC standard: Agricultural machinery and tractors — Safety of partially automated, semi-autonomous and autonomous machinery — Part 5: open. Committee: ISO/TC 23/SC 19.


name: iso-iec-15938-18-2023
rev: 00
time: 2023-07-14
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.326817+00:00
source: iso
source_id: ISO/IEC 15938-18:2023
source_url: https://www.iso.org/standard/ISO%2FIEC%2015938-18.html
doc_status: 9599
title:
  ISO/IEC 15938-18:2023: Information technology — Multimedia content description interface — Part 18: Conformance and reference software for compression of neural networks

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies conformance testing procedures for implementations of ISO/IEC 15938-17 and provides conformance bitstreams. It also provides the reference software for ISO/IEC 15938-17 which is an integral part of this document.</span></p>


name: iso-iec-pwi-7699
rev: 00
title: ISO/IEC PWI 7699: Guidance for addressing security threats and failures in artificial intelligence
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.329630+00:00
source: iso
source_id: ISO/IEC PWI 7699
source_url: https://www.iso.org/standard/ISO%2FIEC%20PWI%207699.html
doc_status: 98
abstract:
  ISO/IEC standard: Guidance for addressing security threats and failures in artificial intelligence. Committee: ISO/IEC JTC 1/SC 27.


name: iso-13141-2024
rev: 00
time: 2024-02-23
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.333161+00:00
source: iso
source_id: ISO 13141:2024
source_url: https://www.iso.org/standard/ISO%2013141.html
doc_status: 6060
title:
  ISO 13141:2024: Electronic fee collection — Localization augmentation communication for autonomous systems

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document establishes requirements for short-range communication for the purposes of augmenting the localization in autonomous electronic fee collection (EFC) systems. Localization augmentation serves to inform on-board equipment (OBE) about geographical location and the identification of a charge object. This document specifies the provision of location and heading information and security means to protect against the manipulation of the OBE with false RSE.</span></p><p class='MsoBodyText'><span lang='EN-GB'>The localization augmentation communication (LAC) takes place between an OBE in a vehicle and fixed RSE. This document is applicable to OBE in an autonomous mode of operation.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document specifies attributes and functions for the purpose of localization augmentation, by making use of the dedicated short-range communications (DSRC) communication services provided by DSRC Layer 7, and makes these LAC attributes and functions available to the LAC applications at the RSE and the OBE. Attributes and functions are specified on the level of application data units (ADUs; see Figure 1).</span></p><p class='MsoBodyText'><span lang='EN-GB'>As depicted in Figure 1, this document is applicable to:</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>the application interface definition between OBE and RSE;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><sp


name: iso-12813-2024
rev: 00
title: ISO 12813:2024: Electronic fee collection — Compliance check communication for autonomous systems
time: 2024-02-23
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.337051+00:00
source: iso
source_id: ISO 12813:2024
source_url: https://www.iso.org/standard/ISO%2012813.html
doc_status: 6060
abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies requirements for short-range communication for the purposes of compliance checking in autonomous electronic fee collecting systems. Compliance checking communication (CCC) takes place between a road vehicle's on-board equipment (OBE) and an interrogator [fixed and mobile roadside equipment (RSE) or hand-held unit] and serves to establish whether the data that are delivered by the OBE correctly reflect the road usage of the corresponding vehicle according to the rules of the pertinent toll regime.</span></p><p class='MsoBodyText'><span lang='EN-GB'>The operator of the compliance checking interrogator is assumed to be part of the toll charging role as defined in ISO 17573-1. The CCC permits identification of the OBE, vehicle and contract, and verification of whether the driver has fulfilled their obligations and the checking status and performance of the OBE. The CCC reads, but does not write, OBE data.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document is applicable to OBE in an autonomous mode of operation. It is not applicable to compliance checking in dedicated short-range communication (DSRC)-based charging systems.</span></p><p class='MsoBodyText'><span lang='EN-GB'>It specifies data syntax and semantics, but not a communication sequence. All the attributes specified herein are required in any OBE claimed to be compliant with this document, even if some values are set to “not specified” in cases where a certain functionality is not present in an OBE. The interrogator is free to choose which attributes are read in the data retrieval phase, as well as the sequence in which they are read. In order to achieve compatibility with existing systems, the communication makes use of the attributes specified in ISO 17573-3 wherever useful.</span></p><p class='MsoBodyText'><span lang='EN-GB'>The CCC is suitable for a range of short-range communication media. Specific definitions are given for th


name: iso-iec-8183-2023
rev: 00
title: ISO/IEC 8183:2023: Information technology — Artificial intelligence — Data life cycle framework
time: 2023-07-26
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.340990+00:00
source: iso
source_id: ISO/IEC 8183:2023
source_url: https://www.iso.org/standard/ISO%2FIEC%208183.html
doc_status: 6060
abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document defines the stages and identifies associated actions for data processing throughout the artificial intelligence (AI) system life cycle, including acquisition, creation, development, deployment, maintenance and decommissioning. This document does not define specific services, platforms or tools. This document is applicable to all organizations, regardless of type, size or nature, that use data in the development and use of AI systems.</span></p>


name: iso-iec-ts-8200-2024
rev: 00
time: 2024-04-10
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.345013+00:00
source: iso
source_id: ISO/IEC TS 8200:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%20TS%208200.html
doc_status: 6060
title:
  ISO/IEC TS 8200:2024: Information technology — Artificial intelligence — Controllability of automated artificial intelligence systems

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies a basic framework with principles, characteristics and approaches for the realization and enhancement for automated artificial intelligence (AI) systems’ controllability.</span></p><p class='MsoBodyText'><span lang='EN-GB'>The following areas are covered:</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>state observability and state transition;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>control transfer process and cost;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>reaction to uncertainty during control transfer;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>verification and validation approaches.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document is applicable to all types of organizations (e.g. commercial enterprises, government agencies, not-for-profit organizations) developing and using AI s


name: iso-np-15801
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.348219+00:00
source: iso
source_id: ISO/NP 15801
source_url: https://www.iso.org/standard/ISO%2FNP%2015801.html
doc_status: 1098
title:
  ISO/NP 15801: Document management — Electronically stored information — Recommendations for trustworthiness and reliability

abstract:
  This document specifies the implementation and operation of information management systems that stores and make available for use electronically stored information (ESI) in a trustworthy and reliable manner. Such ESI can be of any type, including “page based” information, information in databases and audio/video information.This document is for use by any organization that uses information management systems to store trustworthy ESI over time.  Such systems incorporate policies, procedures, technology and audit requirements that ensure that trustworthiness of the ESI is maintained.This document does not cover processes used to evaluate whether ESI can be considered to be trustworthy prior to it being stored or imported into the system. However, it can be used to demonstrate that, once the electronic information is stored, output from the system will be a true and accurate reproduction of the ESI created and/or imported.


name: iso-pas-8800-2024
rev: 00
title: ISO/PAS 8800:2024: Road vehicles — Safety and artificial intelligence
time: 2024-12-13
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.351370+00:00
source: iso
source_id: ISO/PAS 8800:2024
source_url: https://www.iso.org/standard/ISO%2FPAS%208800.html
doc_status: 9092
abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document applies to safety-related systems that include one or more electrical and/or electronic (E/E) systems that use AI technology and that is installed in series production road vehicles, excluding mopeds. It does not address unique E/E systems in special vehicles, such as E/E systems designed for drivers with disabilities.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document addresses the risk of undesired safety-related behaviour at the vehicle level due to output insufficiencies, systematic errors and random hardware errors of AI elements within the vehicle. This includes interactions with AI elements that are not part of the vehicle itself but that can have a direct or indirect impact on vehicle safety.</span></p><p class='Example'><span lang='EN-GB'>EXAMPLE 1<span style='mso-tab-count: 1;'>         </span>Examples of AI elements within the vehicle include the trained AI model and AI system.</span></p><p class='Example'><span lang='EN-GB'>EXAMPLE 2<span style='mso-tab-count: 1;'>         </span>Direct impact on safety can be due to object detection by elements external to the vehicle.</span></p><p class='Example'><span lang='EN-GB'>EXAMPLE 3<span style='mso-tab-count: 1;'>         </span>Indirect impact on safety can be due to field monitoring by elements external to the vehicle.</span></p><p class='MsoBodyText'><span lang='EN-GB'>The development of AI elements that are not part of the vehicle is not within the scope of this document. These elements can conform to domain-specific safety guidance. This document can be used as a reference where such domain-specific guidance does not exist.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document describes safety-related properties of AI systems that can be used to construct a convincing safety assurance claim for the absence of unreasonable risk.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document does not provide specific guide


name: iso-iec-pwi-9991
rev: 00
title: ISO/IEC PWI 9991: Information technology – Trustworthiness – Overview and concepts
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.354621+00:00
source: iso
source_id: ISO/IEC PWI 9991
source_url: https://www.iso.org/standard/ISO%2FIEC%20PWI%209991.html
doc_status: 98
abstract:
  ISO/IEC standard: Information technology – Trustworthiness – Overview and concepts. Committee: ISO/IEC JTC 1.


name: iso-iec-cd-11034.2
rev: 00
title: ISO/IEC CD 11034.2: Information technology — Cloud computing — Trustworthiness in cloud computing
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.358099+00:00
source: iso
source_id: ISO/IEC CD 11034.2
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%2011034.2.html
doc_status: 3060
abstract:
  This document provides an overview, frameworks, and concepts for Trustworthiness in cloud computing.


name: iso-dtr-12786
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.361318+00:00
source: iso
source_id: ISO/DTR 12786
source_url: https://www.iso.org/standard/ISO%2FDTR%2012786.html
doc_status: 5000
title:
  ISO/DTR 12786: Intelligent transport systems — Big data and artificial intelligence supporting intelligent transport systems — Use cases

abstract:
  ISO/IEC standard: Intelligent transport systems — Big data and artificial intelligence supporting intelligent transport systems — Use cases. Committee: ISO/TC 204.


name: iso-iec-ts-12791-2024
rev: 00
time: 2024-10-31
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.364744+00:00
source: iso
source_id: ISO/IEC TS 12791:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%20TS%2012791.html
doc_status: 6060
title:
  ISO/IEC TS 12791:2024: Information technology — Artificial intelligence — Treatment of unwanted bias in classification and regression machine learning tasks

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document describes how to address unwanted bias in AI systems that use machine learning to conduct classification and regression tasks. This document provides mitigation techniques that can be applied throughout the AI system life cycle in order to treat unwanted bias. This document is applicable to all types and sizes of organization.</span></p>


name: iso-iec-12792-2025
rev: 00
time: 2025-11-11
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.368114+00:00
source: iso
source_id: ISO/IEC 12792:2025
source_url: https://www.iso.org/standard/ISO%2FIEC%2012792.html
doc_status: 6060
title:
  ISO/IEC 12792:2025: Information technology — Artificial intelligence (AI) — Transparency taxonomy of AI systems

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies a taxonomy of information elements to assist AI stakeholders with identifying and addressing the needs for transparency of AI systems. The document describes the semantics of the information elements and their relevance to the various objectives of different stakeholders.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document is applicable to any kind of organization and application involving an AI system.</span></p>


name: iso-iec-ts-42119-2-2025
rev: 00
time: 2025-11-03
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.371545+00:00
source: iso
source_id: ISO/IEC TS 42119-2:2025
source_url: https://www.iso.org/standard/ISO%2FIEC%20TS%2042119-2.html
doc_status: 6060
title:
  ISO/IEC TS 42119-2:2025: Artificial intelligence — Testing of AI — Part 2: Overview of testing AI systems

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document provides requirements and guidance on the application of the ISO/IEC/IEEE 29119 series to the testing of AI systems. This document follows a risk-based approach and uses risks associated with AI systems, and their development and maintenance, to identify suitable test practices, approaches and techniques applicable to AI systems and their components. When the test practices, approaches and techniques are already specified in the ISO/IEC/IEEE 29119 series, this document provides additional detail and describes their application in the context of AI systems.</span></p>


name: iso-iec-tr-24030-2024
rev: 00
title: ISO/IEC TR 24030:2024: Information technology — Artificial intelligence (AI) — Use cases
time: 2024-04-08
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.375326+00:00
source: iso
source_id: ISO/IEC TR 24030:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%20TR%2024030.html
doc_status: 9092
abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document provides a collection of representative use cases of AI applications in a variety of domains.</span></p>


name: iso-iec-5259-5-2025
rev: 00
time: 2025-02-12
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.378706+00:00
source: iso
source_id: ISO/IEC 5259-5:2025
source_url: https://www.iso.org/standard/ISO%2FIEC%205259-5.html
doc_status: 6060
title:
  ISO/IEC 5259-5:2025: Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance framework

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document provides a data quality governance framework for analytics and machine learning (ML) to enable governing bodies of organizations to direct and oversee the implementation and operation of data quality measures, management, and related processes with adequate controls throughout the data life cycle (DLC) model according to ISO/IEC 5259-1.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document can be applied to any analytics and ML. This document does not define specific management requirements or process requirements according to ISO/IEC 5259-3 and ISO/IEC 5259-4 respectively.</span></p>


name: iso-22733-1-2022
rev: 00
time: 2022-09-13
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.382136+00:00
source: iso
source_id: ISO 22733-1:2022
source_url: https://www.iso.org/standard/ISO%2022733-1.html
doc_status: 6060
title:
  ISO 22733-1:2022: Road vehicles — Test method to evaluate the performance of autonomous emergency braking systems — Part 1: Car-to-car

abstract:
  <p>This document specifies a method to evaluate the behaviour of a vehicle equipped with an autonomous emergency braking system (AEBS), or dynamic brake support (DBS) during several accident scenarios. Those accidents occur during a straight-line driving when the vehicle under test (VUT) approaches another vehicle in the same lane. Both vehicles are aligned in longitudinal axis to each other.</p><p>The most important part of the vehicle behaviour during these accidents scenarios is the capacity to avoid or mitigate the collision.</p><p>Systems requiring driver intervention are not in the scope of this document.</p><p>NOTE      Depending on accidentology, only a part of the scenarios can be used for an evaluation of performance. AEB system evaluation based upon this document is limited to longitudinal accident scenarios.</p>


name: iso-np-4669-3
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.385252+00:00
source: iso
source_id: ISO/NP 4669-3
source_url: https://www.iso.org/standard/ISO%2FNP%204669-3.html
doc_status: 1098
title:
  ISO/NP 4669-3: Document management — Information classification, marking and handling — Part 3: Trustworthiness of information received from third parties

abstract:
  This document specifies requirements and procedures to be followed when assessing the trustworthiness of documents received from third parties.


name: iso-iec-23093-5-2025
rev: 00
time: 2025-03-06
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.388368+00:00
source: iso
source_id: ISO/IEC 23093-5:2025
source_url: https://www.iso.org/standard/ISO%2FIEC%2023093-5.html
doc_status: 6060
title:
  ISO/IEC 23093-5:2025: Information technology — Internet of media things — Part 5: IoMT autonomous collaboration

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies data formats and APIs for the mission management and control between MThings and end-users/system managers. Specifically, the following interfaces, protocols and associated media-related information representations are within the scope of this document:</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>structured data formats (XML) representing the mission assigned by the user to the network of IoMT, for the data formats;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>structured data formats (XML) representing user commands to one or several MThings, possibly in a modified form (e.g. a subset of 1);</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>APIs to exchange the data for mission management and control.</span></p>


name: iso-iec-dts-42119-3.2
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.392022+00:00
source: iso
source_id: ISO/IEC DTS 42119-3.2
source_url: https://www.iso.org/standard/ISO%2FIEC%20DTS%2042119-3.2.html
doc_status: 5000
title:
  ISO/IEC DTS 42119-3.2: Artificial intelligence — Testing of AI — Part 3: Verification and validation analysis of AI systems

abstract:
  This document describes approaches and provides guidance on processes for the verification and validation analysis of AI systems (comprising AI system components and the interaction of non-AI components with the AI system components) including formal methods, simulation and evaluation.This document is applicable for AI systems verification and validation in the context of the AI system life cycle stages described in ISO/IEC 22989.This document is applicable to all types of organizations engaged in the development, deployment and use of AI systems.


name: iso-iec-pwi-17866
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.395404+00:00
source: iso
source_id: ISO/IEC PWI 17866
source_url: https://www.iso.org/standard/ISO%2FIEC%20PWI%2017866.html
doc_status: 98
title:
  ISO/IEC PWI 17866: Artificial intelligence — Best practice guidance for mitigating ethical and societal concerns

abstract:
  ISO/IEC standard: Artificial intelligence — Best practice guidance for mitigating ethical and societal concerns. Committee: ISO/IEC JTC 1/SC 42.


name: iso-iec-tr-17903-2024
rev: 00
time: 2024-05-06
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.399102+00:00
source: iso
source_id: ISO/IEC TR 17903:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%20TR%2017903.html
doc_status: 6060
title:
  ISO/IEC TR 17903:2024: Information technology — Artificial intelligence — Overview of machine learning computing devices

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document surveys machine learning (ML) computing devices, including the following:</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>ML computing device terminology and characteristics;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>existing approaches to the setting and use of characteristics for optimizing ML computing device performance.</span></p><p class='MsoBodyText'><span lang='EN-GB'>The information provided in this document is relevant for organizations of all types and sizes.</span></p>


name: iso-iec-awi-31310-1
rev: 00
title: ISO/IEC AWI 31310-1: Information Technology — Trustworthiness ontology — Part 1: Framework
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.402392+00:00
source: iso
source_id: ISO/IEC AWI 31310-1
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2031310-1.html
doc_status: 2000
abstract:
  Scope: This document describes the ontology framework and the general ontological notion of trustworthiness for information technology.


name: iso-18374-2025
rev: 00
time: 2025-04-30
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.405456+00:00
source: iso
source_id: ISO 18374:2025
source_url: https://www.iso.org/standard/ISO%2018374.html
doc_status: 6060
title:
  ISO 18374:2025: Dentistry — Artificial intelligence (AI) and augmented intelligence (AuI) based 2D radiograph analysis — Data generation, data annotation and data processing

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document defines the requirements for developing and documenting the goals, limitations, target end users and target patient population for artificial intelligence (AI) and augmented intelligence (AuI) enabled 2D radiograph analysis software for dentistry applications. It outlines the requirements for appropriate training data, validation data, test data and annotation for the software to ensure that it achieves its intended goals, and is restricted to the aspects. This document does not cover the specific implementation details, and focuses on static (i.e. non-dynamic) AI/AuI.</span></p>


name: iso-awi-18460
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.408699+00:00
source: iso
source_id: ISO/AWI 18460
source_url: https://www.iso.org/standard/ISO%2FAWI%2018460.html
doc_status: 2000
title:
  ISO/AWI 18460: Powered lawn and garden equipment — Internal-combustion engine-powered autonomous lawnmowers

abstract:
  This Type C Standard specifies safety requirements and their verification for autonomous combustion-engine-powered lawnmowers and equipped with:— metallic cutting means; and/or— non-metallic cutting means with one or more cutting elements pivotally mounted on a generally circular drive unit, where these cutting elements rely on centrifugal force to achieve cutting and have a kinetic energy for each single cutting element of 10 J or more.This document deals with the significant hazards, hazardous situations, and events relevant to lawnmowers with autonomous functions when used as intended and under the conditions of misuse foreseeable by the manufacturer during normal operation and service.This standard does not apply to:—	travel on public roads;—	grassland mowers;—	sickle bar mowers;—	scrub-clearing machines;—	automatic docking and refueling systems.This International Standard is neither applicable to machines which were manufactured with an auto-guidance system, nor to self-contained auto-guidance retrofit systems which were placed on the market before the date of this International Standard.


name: iso-iec-pwi-18966
rev: 00
title: ISO/IEC PWI 18966: Artificial intelligence — Oversight of AI systems
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.411711+00:00
source: iso
source_id: ISO/IEC PWI 18966
source_url: https://www.iso.org/standard/ISO%2FIEC%20PWI%2018966.html
doc_status: 98
abstract:
  ISO/IEC standard: Artificial intelligence — Oversight of AI systems. Committee: ISO/IEC JTC 1/SC 42.


name: iso-iec-15938-17-2024
rev: 00
time: 2024-01-10
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.414940+00:00
source: iso
source_id: ISO/IEC 15938-17:2024
source_url: https://www.iso.org/standard/ISO%2FIEC%2015938-17.html
doc_status: 6060
title:
  ISO/IEC 15938-17:2024: Information technology — Multimedia content description interface — Part 17: Compression of neural networks for multimedia content description and analysis

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies Neural Network Coding (NNC) as a compressed representation of the parameters/weights of a trained neural network and a decoding process for the compressed representation, complementing the description of the network topology in existing (exchange) formats for neural networks. It establishes a toolbox of compression methods, specifying (where applicable) the resulting elements of the compressed bitstream. Most of these tools can be applied to the compression of entire neural networks, and some of them can also be applied to the compression of differential updates of neural networks with respect to a base network. Such differential updates are for example useful when models are redistributed after fine-tuning or transfer learning, or when providing versions of a neural network with different compression ratios.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document does not specify a complete protocol for the transmission of neural networks, but focuses on compression of network parameters. Only the syntax format, semantics, associated decoding process requirements, parameter sparsification, parameter transformation methods, parameter quantization, entropy coding method and integration/signalling within existing exchange formats are specified, while other matters such as pre-processing, system signalling and multiplexing, data loss recovery and post-processing are considered to be outside the scope of this document. Additionally, the internal processing steps performed within a decoder are also considered to be outside the scope of this document; only the externally observable output behaviour is required to conform to the specifications of this document.</span></p>


name: iso-iec-cd-tr-18988
rev: 00
title: ISO/IEC CD TR 18988: Artificial intelligence — Application of AI technologies in health informatics
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.418302+00:00
source: iso
source_id: ISO/IEC CD TR 18988
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%20TR%2018988.html
doc_status: 3099
abstract:
  ISO/IEC standard: Artificial intelligence — Application of AI technologies in health informatics. Committee: ISO/IEC JTC 1/SC 42.


name: iso-awi-tr-3510
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.421695+00:00
source: iso
source_id: ISO/AWI TR 3510
source_url: https://www.iso.org/standard/ISO%2FAWI%20TR%203510.html
doc_status: 2000
title:
  ISO/AWI TR 3510: Advanced automated mining systems – Communication interface for interoperability between a supervisor system and heterogenous autonomous machine controllers

abstract:
  ISO/IEC standard: Advanced automated mining systems – Communication interface for interoperability between a supervisor system and heterogenous autonomous machine controllers. Committee: ISO/TC 82/SC 8.


name: iso-cd-tr-22957
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.425273+00:00
source: iso
source_id: ISO/CD TR 22957
source_url: https://www.iso.org/standard/ISO%2FCD%20TR%2022957.html
doc_status: 3098
title:
  ISO/CD TR 22957: Document management — Trustworthy content/records management environments - Best practices

abstract:
  <p>This document gives guidelines for a set of procedures and activities to be considered and/or performed by organizations when planning, designing and implementing various enterprise content management (ECM) technologies. The aspects or project phases range from initial business analysis through to vendor/integrator selection and technology implementation. The implementation of processes to manage electronically stored information (ESI) requires significant participation from the affected business units, if the content is stored and managed when created/received and controlled through the information life cycle following organizational policies and/or records retention and control policies are applied. As these efforts require multiple people with different disciplines, including technical teams, records managers and organizational management, this document has been prepared taking those perspectives into account.</p><p>This document is applicable to both in-house and outsourced systems, including cloud solutions. It can also be useful when dealing with specialized business systems. The term 'enterprise content management (ECM)' (or 'document management') used throughout this document is intended as an all-encompassing term referring to capture technologies [scanning, indexing, optical character recognition (OCR), forms, digital creation, etc.], management technologies (document services, workflow and other work management tools), and storage [primarily non-alterable or write once read many (WORM) technologies]. This document provides information to users related to the technical reports, guidelines and standards that have been developed for technologies commonly available in ECM systems.</p><p>This document is not intended to be an all-inclusive paper on electronic document or content management and does not attempt to influence any single technology or provide legal guidance or legal opinions. While there are storage technologies other than optical/magnetic curr


name: iso-iec-tr-20226-2025
rev: 00
time: 2025-07-01
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.429123+00:00
source: iso
source_id: ISO/IEC TR 20226:2025
source_url: https://www.iso.org/standard/ISO%2FIEC%20TR%2020226.html
doc_status: 6060
title:
  ISO/IEC TR 20226:2025: Information technology — Artificial intelligence — Environmental sustainability aspects of AI systems

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document provides an overview of the environmental sustainability aspects (e.g. workload, resource and asset utilization, carbon impact, pollution, waste, transportation, location) of AI systems during their life cycle, and related potential metrics.</span></p><p class='Note'><span lang='EN-GB'>NOTE 1<span style='mso-tab-count: 1;'>        </span>This document does not identify opportunities on how AI, AI applications and AI systems can improve environmental, social or economic sustainability outcomes.</span></p><p class='Note'><span lang='EN-GB'>NOTE 2<span style='mso-tab-count: 1;'>        </span>This document can help other projects related to AI system environmental sustainability.</span></p>


name: iso-20682-2026
rev: 00
title: ISO 20682:2026: Autonomous underwater vehicles — Risk and reliability
time: 2026-02-13
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.432020+00:00
source: iso
source_id: ISO 20682:2026
source_url: https://www.iso.org/standard/ISO%2020682.html
doc_status: 6060
abstract:
  <p><span lang='EN-GB'>This document specifies the risks and reliability of an autonomous underwater vehicle (AUV) in its underwater realm. It covers sensors, communication devices, and any other pieces and parts directly influencing the “digital mission” of the vehicle. This document does not cover the manufacturing or operation of the following items:</span></p><ul style='list-style-type: disc;'><li><span lang='EN-GB'>autonomous underwater gliders (AUGs), as they use a narrowly modifiable set of operational commands;</span></li><li><span lang='EN-GB'>batteries for the use of AUVs;</span></li><li><span lang='EN-GB'>electrical motors for the use of AUVs.</span></li></ul>


name: iso-iec-pwi-20822
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.435121+00:00
source: iso
source_id: ISO/IEC PWI 20822
source_url: https://www.iso.org/standard/ISO%2FIEC%20PWI%2020822.html
doc_status: 98
title:
  ISO/IEC PWI 20822: Information technology — Domain knowledge trustworthiness evaluation for smart cities

abstract:
  ISO/IEC standard: Information technology — Domain knowledge trustworthiness evaluation for smart cities. Committee: ISO/IEC JTC 1.


name: iso-iec-tr-5259-6
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.438127+00:00
source: iso
source_id: ISO/IEC TR 5259-6
source_url: https://www.iso.org/standard/ISO%2FIEC%20TR%205259-6.html
doc_status: 6000
title:
  ISO/IEC TR 5259-6: Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 6: Visualization framework for data quality

abstract:
  ISO/IEC standard: Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 6: Visualization framework for data quality. Committee: ISO/IEC JTC 1/SC 42.


name: iso-iec-tr-21221-2025
rev: 00
title: ISO/IEC TR 21221:2025: Information technology — Artificial intelligence — Beneficial AI systems
time: 2025-09-05
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.441249+00:00
source: iso
source_id: ISO/IEC TR 21221:2025
source_url: https://www.iso.org/standard/ISO%2FIEC%20TR%2021221.html
doc_status: 6060
abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document describes the delivery of functional, economic, environmental, social, societal, cultural, intellectual and personal benefits by AI systems as perceived by their stakeholders. The document includes illustrative use cases of AI systems.</span></p>


name: iso-iec-ts-23220-6-2025
rev: 00
time: 2025-10-21
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.444293+00:00
source: iso
source_id: ISO/IEC TS 23220-6:2025
source_url: https://www.iso.org/standard/ISO%2FIEC%20TS%2023220-6.html
doc_status: 6060
title:
  ISO/IEC TS 23220-6:2025: Cards and security devices for personal identification — Building blocks for identity management via mobile devices — Part 6: Mechanism for use of certification on trustworthiness of secure area

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies mechanism for use of certification on trustworthiness of secure area that is defined in ISO/IEC 23220-1.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document aims at enabling secure area providers to describe capabilities and confidence level of secure area for verification by eID issuers or mobile eID Attestation service providers, or both.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document specifies:</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>list of elements describing capabilities and confidence level of a secure area;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>structure and management for use of a certificate, affixed or not to the secure area, containing that list of elements.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document refers to existing standards and applicable industry specifications which partly address the trustworthiness related issue (e.g. DLOA specified in GlobalPlatform specification GPC_SPE_095<sup>[</sup><a href='#Reference_ref_3'><!-- [if supportFields]><spanstyle='color:#0563C1'><span style='mso-element:field-begin'></span> REFReference_ref_3 \\r \\h <span style='mso-element:field-separator'></span></span><![endif]--><span style='color: #0563c1;'>1<!-- [if gte mso 9]><xml> <w:data>08D0C9EA79F9BACE118C8200AA004BA90B0200000008000000100000005200650066006500720065006E00630065005F0072006


name: iso-iec-cd-42102
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.447978+00:00
source: iso
source_id: ISO/IEC CD 42102
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%2042102.html
doc_status: 3060
title:
  ISO/IEC CD 42102: Information technology — Artificial intelligence — Framework for characterizing AI system methods and capabilities

abstract:
  <p>This document provides a framework of descriptors to support the consistent characterization of AI system methods and capabilities. The framework helps AI stakeholders describe AI systems and have a common understanding of them. This document applies to all types of organizations involved in any of the lifecycle stages of AI systems as well as to any AI stakeholder roles</p>


name: iso-iec-cd-tr-42103
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.501606+00:00
source: iso
source_id: ISO/IEC CD TR 42103
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%20TR%2042103.html
doc_status: 3020
title:
  ISO/IEC CD TR 42103: Information technology — Artificial intelligence — Overview of synthetic data in the context of AI systems

abstract:
  <p>This document provides an overview of synthetic data concepts, methods, uses and considerations in the context of AI systems.</p>


name: iso-iec-dis-24029-3
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.507926+00:00
source: iso
source_id: ISO/IEC DIS 24029-3
source_url: https://www.iso.org/standard/ISO%2FIEC%20DIS%2024029-3.html
doc_status: 4020
title:
  ISO/IEC DIS 24029-3: Artificial intelligence (AI) — Assessment of the robustness of neural networks — Part 3: Methodology for the use of statistical methods

abstract:
  This document provides methodology for the use of statistical methods to assess robustness properties of neural networks. The document focuses on how to select, apply and manage statistical methods to assess robustness properties.


name: iso-iec-dis-42105
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.511251+00:00
source: iso
source_id: ISO/IEC DIS 42105
source_url: https://www.iso.org/standard/ISO%2FIEC%20DIS%2042105.html
doc_status: 4060
title:
  ISO/IEC DIS 42105: Information technology — Artificial intelligence — Guidance for human oversight of AI systems

abstract:
  <p>This document provides guidance on human control and monitoring of AI systems, which is referred to as human oversight. This document extends ISO/IEC TS 8200. This document is applicable to all types of organizations. This document is applicable throughout the AI system life cycle.</p>


name: iso-iec-tr-42106
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.514507+00:00
source: iso
source_id: ISO/IEC TR 42106
source_url: https://www.iso.org/standard/ISO%2FIEC%20TR%2042106.html
doc_status: 6000
title:
  ISO/IEC TR 42106: Information technology — Artificial intelligence (AI) — Overview of differentiated benchmarking of AI system quality characteristics

abstract:
  ISO/IEC standard: Information technology — Artificial intelligence (AI) — Overview of differentiated benchmarking of AI system quality characteristics. Committee: ISO/IEC JTC 1/SC 42.


name: iso-fdis-15801
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.517438+00:00
source: iso
source_id: ISO/FDIS 15801
source_url: https://www.iso.org/standard/ISO%2FFDIS%2015801.html
doc_status: 5020
title:
  ISO/FDIS 15801: Document management — Electronically stored information — Requirements and guidance for trustworthiness and reliability

abstract:
  This document specifies the implementation and operation of information management systems that stores and make available for use electronically stored information (ESI) in a trustworthy and reliable manner. Such ESI can be of any type, including “page based” information, information in databases and audio/video information.This document is for use by any organization that uses information management systems to store trustworthy ESI over time.  Such systems incorporate policies, procedures, technology and audit requirements that ensure that trustworthiness of the ESI is maintained.This document does not cover processes used to evaluate whether ESI can be considered to be trustworthy prior to it being stored or imported into the system. However, it can be used to demonstrate that, once the electronic information is stored, output from the system will be a true and accurate reproduction of the ESI created and/or imported.


name: iso-iec-wd-ts-22440
rev: 00
title: ISO/IEC WD TS 22440: Artificial intelligence — Functional safety and AI systems — Requirements
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.520252+00:00
source: iso
source_id: ISO/IEC WD TS 22440
source_url: https://www.iso.org/standard/ISO%2FIEC%20WD%20TS%2022440.html
doc_status: 2098
abstract:
  This document provides requirements and guidance on the terminology, properties, risk factors, processes, methods, techniques and architectures relating to:  -	use of AI technology within a safety-related function;-	use of safety-related function based on conventional technology to ensure safety of a system using AI technology; -	use of AI technology to design, develop and verify safety-related functions.This document includes general considerations on how security threats can affect safety of an AI system.Unless differently specified, this document is applicable to all types of AI technologies. It includes specific details on machine learning (ML).


name: iso-iec-cd-ts-22443
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.523125+00:00
source: iso
source_id: ISO/IEC CD TS 22443
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%20TS%2022443.html
doc_status: 3099
title:
  ISO/IEC CD TS 22443: Information technology — Artificial intelligence — Guidance on addressing societal concerns and ethical considerations

abstract:
  This document provides guidance on how an organization can identify and address societal concerns and ethical considerations during the life cycle of AI systems that can potentially harm individuals and society.The document expands existing AI system governance, management system and impact assessment standards. This document is applicable to all types of organizations that develop or use AI systems, regardless of size, type and nature.


name: iso-iec-cd-23282
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.526242+00:00
source: iso
source_id: ISO/IEC CD 23282
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%2023282.html
doc_status: 3060
title:
  ISO/IEC CD 23282: Artificial Intelligence — Evaluation methods for accurate natural language processing systems

abstract:
  <p>This document specifies the evaluation of natural language processing systems, in the sense of measuring the quality of a system’s results to assess its functional suitability. It provides a definition of evaluation methods for those systems, together with guidance on how to select, implement and interpret those evaluation methods. This document covers quantitative metrics as well as other evaluation methods. It includes requirements on the implementation of the described metrics, and further requirements on the technical resources involved in the evaluation process.</p>


name: iso-16363-2025
rev: 00
time: 2025-03-05
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.529232+00:00
source: iso
source_id: ISO 16363:2025
source_url: https://www.iso.org/standard/ISO%2016363.html
doc_status: 6060
title:
  ISO 16363:2025: Space data and information transfer systems — Audit and certification of trustworthy digital repositories

abstract:
  <p class='MsoNormal'><span style='color: black; mso-color-alt: windowtext;'>This document defines a CCSDS Recommended Practice on which to base an audit and certification process for assessing the trustworthiness of digital repositories. The scope of application of this document is the entire range of digital repositories.</span></p>


name: iso-16919-2025
rev: 00
time: 2025-03-07
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.532372+00:00
source: iso
source_id: ISO 16919:2025
source_url: https://www.iso.org/standard/ISO%2016919.html
doc_status: 6060
title:
  ISO 16919:2025: Space data and information transfer systems — Requirements for bodies providing audit and certification of candidate trustworthy digital repositories

abstract:
  <p class='MsoNormal'><span lang='EN-GB' style='mso-ansi-language: EN-GB;'>This document defines a CCSDS Recommended Practice (and ISO standard) on which to base the operations of the organization(s) which assess the trustworthiness of digital repositories using the latest version of CCSDS 652.0/ISO 16363 (reference </span><!-- [if supportFields]><span lang=EN-GBstyle='mso-ansi-language:EN-GB'><span style='mso-element:field-begin'></span>REFR_652x0m2AuditandCertificationofTrustwor \\h<span style='mso-element:field-separator'></span></span><![endif]--><span lang='EN-GB' style='mso-ansi-language: EN-GB;'>[<span style='mso-no-proof: yes;'>1</span>]<!-- [if gte mso 9]><xml> <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000002900000052005F00360035003200780030006D0032004100750064006900740061006E006400430065007200740069006600690063006100740069006F006E006F0066005400720075007300740077006F0072000000</w:data></xml><![endif]--></span><!-- [if supportFields]><span lang=EN-GBstyle='mso-ansi-language:EN-GB'><span style='mso-element:field-end'></span></span><![endif]--><span lang='EN-GB' style='mso-ansi-language: EN-GB;'>) and provide the appropriate certification. This document specifies requirements for bodies providing audit and certification of digital repositories, based on the metrics contained within ISO/IEC 17021-1 (reference </span><!-- [if supportFields]><spanlang=EN-GB style='mso-ansi-language:EN-GB'><span style='mso-element:field-begin'></span><spanstyle='mso-spacerun:yes'> </span>REF R_ISOIEC170212011ConformityAssessmentReq\\h <span style='mso-spacerun:yes'> </span>\\* MERGEFORMAT <spanstyle='mso-element:field-separator'></span></span><![endif]--><span lang='EN-GB' style='mso-ansi-language: EN-GB;'>[<span style='mso-no-proof: yes;'>4</span>]<!-- [if gte mso 9]><xml> <w:data>08D0C9EA79F9BACE118C8200AA004BA90B02000000080000002900000052005F00490053004F0049004500430031003700300032003100320030003100310043006F006E0066006F0072006D006900740079004100730073006500730073006D


name: iso-iec-dtr-23888-1
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.535673+00:00
source: iso
source_id: ISO/IEC DTR 23888-1
source_url: https://www.iso.org/standard/ISO%2FIEC%20DTR%2023888-1.html
doc_status: 5020
title:
  ISO/IEC DTR 23888-1: Information technology — Artificial intelligence for multimedia — Part 1: Vision and scenarios

abstract:
  ISO/IEC standard: Information technology — Artificial intelligence for multimedia — Part 1: Vision and scenarios. Committee: ISO/IEC JTC 1/SC 29.


name: iso-dts-24971-2.2
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.538786+00:00
source: iso
source_id: ISO/DTS 24971-2.2
source_url: https://www.iso.org/standard/ISO%2FDTS%2024971-2.2.html
doc_status: 5020
title:
  ISO/DTS 24971-2.2: Medical devices — Guidance on the application of ISO 14971 — Part 2: Machine learning in artificial intelligence

abstract:
  <p class='MsoNormal'><span style='font-size: 11.0pt; line-height: 115%; font-family: 'Arial',sans-serif;'>This document provides guidance on how to apply the risk management process of ISO 14971:2019 to ML-enabled medical devices (MLMD). This document is intended to be used in conjunction with ISO 14971 and does not alter the risk management requirements specified in ISO 14971. </span></p><p class='MsoNormal'><span style='font-size: 11.0pt; line-height: 115%; font-family: 'Arial',sans-serif;'>This document addresses risks specific to machine learning (ML). Those risks can be related to topics such as data management, feature extraction, unwanted bias, information security, training the ML model by an ML algorithm, evaluation and testing of the trained ML model. See Figure 1 for an overview of the relevant terms and their relationship. See Annex A for an explanation of bias.</span></p><p class='MsoNormal'><span style='font-size: 11.0pt; line-height: 115%; font-family: 'Arial',sans-serif;'>It is recognized that the ML model can require retraining after a period of use to redefine its parameters. An ML model can learn continuously from patient data and modify their parameters accordingly. The description “continuous(ly) learning” is used throughout this document; the term “adaptive” is sometimes used in other documents. This document also provides examples and suggests strategies for eliminating or controlling these ML-related risks.</span></p>


name: iso-iec-15938-18-2025
rev: 00
time: 2025-02-26
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.541933+00:00
source: iso
source_id: ISO/IEC 15938-18:2025
source_url: https://www.iso.org/standard/ISO%2FIEC%2015938-18.html
doc_status: 6060
title:
  ISO/IEC 15938-18:2025: Information technology — Multimedia content description interface — Part 18: Conformance and reference software for compression of neural networks

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document specifies conformance testing procedures for implementations of ISO/IEC 15938-17 and provides conformance bitstreams. It also provides the reference software for ISO/IEC 15938-17 which is an integral part of this document.</span></p>


name: iso-dis-24051-1
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.544945+00:00
source: iso
source_id: ISO/DIS 24051-1
source_url: https://www.iso.org/standard/ISO%2FDIS%2024051-1.html
doc_status: 4000
title:
  ISO/DIS 24051-1: Medical laboratories — Part 1: General principles for the application of artificial intelligence in medical laboratories

abstract:
  This document specifies general principles for the application of artificial intelligence in the medical laboratory.This document is applicable to methods commonly considered subsets of artificial intelligence, including fuzzy logic, Bayesian networks, supervised and unsupervised machine learning, deep learning, neural networks, expert systems, robotics, natural language processing and image analysis.


name: iso-cd-24051-2
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.548040+00:00
source: iso
source_id: ISO/CD 24051-2
source_url: https://www.iso.org/standard/ISO%2FCD%2024051-2.html
doc_status: 3092
title:
  ISO/CD 24051-2: Medical laboratories — Part 2: Digital pathology and artificial intelligence (AI)-based image analysis

abstract:
  This document specifies requirements and gives recommendations for the digitalization of slide-mounted, stained sections, processing of digital whole slide images, and artificial intelligence (AI) based image analysis to support anatomical pathology examination. This document focuses on sections from formalin-fixed paraffin-embedded (FFPE) tissues (derived e.g. from surgical resection, biopsy or autopsy). It is also applicable to paraffin-embedded tissue fixed by fixatives other than formalin. This document is applicable to in vitro diagnostic examinations using digital pathology and AI-based image analysis performed by medical laboratories, in particular but not limited to anatomical pathology laboratories. It is also intended to be used by health institutions, in vitro diagnostics developers and manufacturers, and regulatory authorities. NOTE 	International, national or regional regulations or requirements can also apply to specific topics covered in this document.


name: iso-22133-2026
rev: 00
time: 2026-01-27
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.551216+00:00
source: iso
source_id: ISO 22133:2026
source_url: https://www.iso.org/standard/ISO%2022133.html
doc_status: 6060
title:
  ISO 22133:2026: Road vehicles — Test object monitoring and control for active safety and automated/autonomous vehicle testing — Functional requirements, specifications and communication protocol

abstract:
  <p><span lang='EN-GB'>This document specifies requirements, procedures and message formats for controlling and monitoring of test objects, used for testing of active safety functions and autonomous vehicles.</span></p><p><span lang='EN-GB'>This document specifies functionality and messaging for monitoring and controlling of test objects by a control centre facilitating an interoperable test object environment. This document defines a communication protocol which allows for the control centre to safely execute tests using test objects from multiple vendors.</span></p><p><span lang='EN-GB'>This document does not specify the internal architecture of the test object nor control centre.</span></p><p><span lang='EN-GB'>This document does not specify how testing of the vehicles shall be performed.</span></p>


name: iso-iec-22989-2022-damd-1
rev: 00
time: 2022/DAmd 1
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.554918+00:00
source: iso
source_id: ISO/IEC 22989:2022/DAmd 1
source_url: https://www.iso.org/standard/ISO%2FIEC%2022989.html
doc_status: 4060
title:
  ISO/IEC 22989:2022/DAmd 1: Information technology — Artificial intelligence — Artificial intelligence concepts and terminology — Amendment 1: Generative AI

abstract:
  ISO/IEC standard: Information technology — Artificial intelligence — Artificial intelligence concepts and terminology — Amendment 1: Generative AI. Committee: ISO/IEC JTC 1/SC 42.


name: iso-iec-23053-2022-damd-1
rev: 00
time: 2022/DAmd 1
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.558017+00:00
source: iso
source_id: ISO/IEC 23053:2022/DAmd 1
source_url: https://www.iso.org/standard/ISO%2FIEC%2023053.html
doc_status: 4060
title:
  ISO/IEC 23053:2022/DAmd 1: Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) — Amendment 1: Generative AI

abstract:
  ISO/IEC standard: Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) — Amendment 1: Generative AI. Committee: ISO/IEC JTC 1/SC 42.


name: iso-iec-dis-25059
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.560842+00:00
source: iso
source_id: ISO/IEC DIS 25059
source_url: https://www.iso.org/standard/ISO%2FIEC%20DIS%2025059.html
doc_status: 4020
title:
  ISO/IEC DIS 25059: Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Quality models for AI systems

abstract:
  This document outlines quality models for AI systems and services and is an applicationspecificextension to the standards on SQuaRE. The characteristics and sub-characteristicsdetailed in the models provide consistent terminology for specifying, measuring and evaluatingAI system and service quality. The characteristics and sub-characteristics detailed in themodels also provide a set of quality characteristics against which stated quality requirementscan be compared for completeness.


name: iso-iec-cd-tr-42109
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.564095+00:00
source: iso
source_id: ISO/IEC CD TR 42109
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%20TR%2042109.html
doc_status: 3060
title:
  ISO/IEC CD TR 42109: Information technology — Artificial intelligence — Use cases of human-machine teaming

abstract:
  ISO/IEC standard: Information technology — Artificial intelligence — Use cases of human-machine teaming. Committee: ISO/IEC JTC 1/SC 42.


name: iso-iec-np-ts-42110
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.567226+00:00
source: iso
source_id: ISO/IEC NP TS 42110
source_url: https://www.iso.org/standard/ISO%2FIEC%20NP%20TS%2042110.html
doc_status: 1098
title:
  ISO/IEC NP TS 42110: Information technology — Artificial intelligence — AI inference framework for AI systems

abstract:
  This document describes guidance for a comprehensive “AI inference framework for AI systems”. The framework includes AI inference concepts and terminology, AI inference modelling and components, AI inference framework processes, and AI inference performance. The AI inference framework is designed for generalized AI systems and is not specific to AI systems.


name: iso-iec-awi-ts-42111
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.570332+00:00
source: iso
source_id: ISO/IEC AWI TS 42111
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%20TS%2042111.html
doc_status: 2000
title:
  ISO/IEC AWI TS 42111: Information technology — Artificial intelligence — Guidance on lightweight AI systems

abstract:
  This document provides guidance on developing and deploying lightweight AI systems optimized forlimited resource utilization.The optimization approach for AI model training efficiency is not within the scope of the this document.


name: iso-iec-dts-42112
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.573365+00:00
source: iso
source_id: ISO/IEC DTS 42112
source_url: https://www.iso.org/standard/ISO%2FIEC%20DTS%2042112.html
doc_status: 5020
title:
  ISO/IEC DTS 42112: Information technology — Artificial intelligence — Guidance on machine learning model training efficiency optimization

abstract:
  <p>This document describes the characteristics that impact machine learning model training efficiency and then provides the optimization approaches that apply to these characteristics. This document provides AI providers and AI producers with a set of characteristics and the related optimizations that they can use to enhance their machine learning model training efficiency. AI providers and AI producers can also use this information to evaluate different machine learning model training approaches. This document does not specify any training accelerating mechanisms provided and implemented within machine learning computing device defined in ISO /IEC TR 17903 and its library.</p>


name: iso-iec-cd-31303.2
rev: 00
title: ISO/IEC CD 31303.2: Information technology — Trustworthiness — Overview and concepts
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.576675+00:00
source: iso
source_id: ISO/IEC CD 31303.2
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%2031303.2.html
doc_status: 3060
abstract:
  This document provides an overview of trustworthiness and related concepts and describes trustworthiness applicable to information technology (IT).


name: iso-iec-dis-24970
rev: 00
title: ISO/IEC DIS 24970: Artificial intelligence — AI system logging
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.579832+00:00
source: iso
source_id: ISO/IEC DIS 24970
source_url: https://www.iso.org/standard/ISO%2FIEC%20DIS%2024970.html
doc_status: 4060
abstract:
  This document describes common capabilities, requirements and a supporting information model for logging of events in AI systems.This document is designed to be used with a risk management system.


name: iso-pwi-24986
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.582982+00:00
source: iso
source_id: ISO/PWI 24986
source_url: https://www.iso.org/standard/ISO%2FPWI%2024986.html
doc_status: 20
title:
  ISO/PWI 24986: Energy performance of building systems — Determination of energy performance of machine learning based optimal control strategy by field measuring methods

abstract:
  The proposed standard is a comprehensive international standard related to building energy prediction and optimal energy saving control using artificial intelligence. This standard includes content on the development of an energy prediction model using artificial intelligence, content on the development of an energy saving algorithm using an machine learning (ML)-based energy prediction model, and application of the energy saving algorithm to actual buildings through toolbox integration.


name: iso-iec-cd-25029
rev: 00
title: ISO/IEC CD 25029: Artificial intelligence — AI-enhanced nudging
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.586195+00:00
source: iso
source_id: ISO/IEC CD 25029
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%2025029.html
doc_status: 3060
abstract:
  This standard applies to nudging mechanisms enhanced by AI systems.This document provides definitions, concepts, and guidelines to address AI-enhanced nudging mechanisms by organisations. This standard aims to support organisations to deal with AI-enhanced nudging mechanisms in alignment with existing AI standards. “AI-enhanced nudging mechanisms” are a sub category of digital nudges and which are enhanced by AI systems. It provides use-cases to illustrate AI-enhanced nudging mechanisms. It provides guidelines and requirements for designing responsible AI-enhanced nudging mechanisms. This includes horizontal processes and key indicators using specific vertical examples.


name: iso-iec-ieee-np-29119-16
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.589601+00:00
source: iso
source_id: ISO/IEC/IEEE NP 29119-16
source_url: https://www.iso.org/standard/ISO%2FIEC%2FIEEE%20NP%2029119-16.html
doc_status: 1098
title:
  ISO/IEC/IEEE NP 29119-16: Software and systems engineering — Software testing — Part 16: Testing of Machine Learning systems

abstract:
  This document provides requirements and guidance on the application of the ISO/IEC/IEEE 29119 series and ISO/IEC 20246 to the testing of machine learning (ML) software and ML systems. This document requires a risk-based approach to testing, and uses generic risks associated with ML systems, and their development and maintenance, to identify suitable treatments in the form of various test approaches (including test levels, test practices, test types, static testing, and test design techniques and measures). When these test approaches and reviews are already specified in the ISO/IEC/IEEE 29119 series or ISO/IEC 20246, this document provides additional detail and describes their application in the context of ML.This document does not cover the testing of adaptive ML systems that can change their functionality once operational, such as reinforcement learning systems and other self-learning systems.


name: iso-iec-cd-tr-23281
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.593428+00:00
source: iso
source_id: ISO/IEC CD TR 23281
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%20TR%2023281.html
doc_status: 3060
title:
  ISO/IEC CD TR 23281: Artificial intelligence — Overview of AI tasks and functionalities related to natural language processing

abstract:
  <p>This document describes the concept of AI task as applied to natural language. It proposes a landscaping of the AI tasks related to the analysis or generation of natural language, as well as other languagerelated functionalities that are associated to those AI systems. It identifies existing and competing terminologies, co-existing variants of the same tasks and functionalities, and how specific tasks can be affected by language diversity in terms of their role or their challenges. This includes all languages, dialects and variants, whether official or not. The relations among tasks or functionalities, and their interactions within pipelines, are discussed and illustrated. In addition, the document provides references to existing standards and published guidelines associated to those tasks and functionalities, highlighting their differences in case of competing standards.</p>


name: iso-iec-dis-23888-2
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.596900+00:00
source: iso
source_id: ISO/IEC DIS 23888-2
source_url: https://www.iso.org/standard/ISO%2FIEC%20DIS%2023888-2.html
doc_status: 4000
title:
  ISO/IEC DIS 23888-2: Information technology — Artificial intelligence for multimedia — Part 2: Video coding for machines

abstract:
  This project will define bitstream syntax and semantics of encoded video, decoding procedure to reconstruct video as well as descriptors extracted from video that is efficient in terms of bitrate and performance of machine tasks after decoding.


name: iso-dis-16400-6
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.600384+00:00
source: iso
source_id: ISO/DIS 16400-6
source_url: https://www.iso.org/standard/ISO%2FDIS%2016400-6.html
doc_status: 4000
title:
  ISO/DIS 16400-6: Automation systems and integration — Equipment behaviour catalogues for virtual production systems — Part 6: An equipment behaviour catalogue with machine learning models

abstract:
  This document specifies an equipment behaviour catalogue (EBC) with machine learning (ML). It allows ML models to be used as a part of equipment behaviour descriptions.


name: iso-iec-dtr-23888-3.2
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.603769+00:00
source: iso
source_id: ISO/IEC DTR 23888-3.2
source_url: https://www.iso.org/standard/ISO%2FIEC%20DTR%2023888-3.2.html
doc_status: 5000
title:
  ISO/IEC DTR 23888-3.2: Information technology — Artificial intelligence for multimedia — Part 3: Optimization of encoders and receiving systems for machine analysis of coded video content

abstract:
  ISO/IEC standard: Information technology — Artificial intelligence for multimedia — Part 3: Optimization of encoders and receiving systems for machine analysis of coded video content. Committee: ISO/IEC JTC 1/SC 29.


name: iso-19178-1-2025
rev: 00
time: 2025-05-27
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.607588+00:00
source: iso
source_id: ISO 19178-1:2025
source_url: https://www.iso.org/standard/ISO%2019178-1.html
doc_status: 6060
title:
  ISO 19178-1:2025: Geographic information — Training data markup language for artificial intelligence — Part 1: Conceptual model

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>Within the context of training data for Earth Observation (EO) Artificial Intelligence Machine Learning (AI/ML), this document specifies a conceptual model that:</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>establishes a UML model with a target of maximizing the interoperability and usability of EO imagery training data;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>specifies different AI/ML tasks and labels in EO in terms of supervised learning, including scene level, object level and pixel level tasks;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>describes the permanent identifier, version, licence, training data size, measurement or imagery used for annotation;</span></p><p class='ListContinue1' style='mso-list: l0 level1 lfo1;'><!-- [if !supportLists]--><span lang='EN-GB' style='mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria;'><span style='mso-list: Ignore;'>—<span style='font: 7.0pt 'Times New Roman';'>     </span></span></span><!--[endif]--><span lang='EN-GB'>specifies a description of quality (e.g. training data errors, training data representativeness, quality measures) and proven


name: iso-cd-25132
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.611243+00:00
source: iso
source_id: ISO/CD 25132
source_url: https://www.iso.org/standard/ISO%2FCD%2025132.html
doc_status: 3060
title:
  ISO/CD 25132: Classification of civil unmanned aircraft system (UAS) autonomous flight control levels

abstract:
  This document defines the classification of civil unmanned aircraft system (UAS) autonomous flight control levels. Based on the human machine role allocation, this document defines 6 UAS autonomous levels, from no autonomy (level 0) to full autonomy (level 5).


name: iso-pwi-ts-21947
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.614681+00:00
source: iso
source_id: ISO/PWI TS 21947
source_url: https://www.iso.org/standard/ISO%2FPWI%20TS%2021947.html
doc_status: 60
title:
  ISO/PWI TS 21947: Machine Learning Application to Surface Analysis Data. Part I: Mass Spectrum and Imaging

abstract:
  This technical report (TS) provides guidelines of machine learning application to mass spectrometry data including spectra and mass images. Machine learning includes numerical analysis methods using computers such as multivariate analysis, artificial neural network-based methods and combination of multiple learning methods, and is generally classified into three categories, unsupervised learning, supervised learning, and reinforcement learning. This TS gives explanations of basic terms regarding machine learning and shows suitable methods depending on the analysis purposes and necessary procedures to data preparation for machine learning. This TS does not strictly regulate learning methods for mass spectrometry data because new learning methods and modified methods are being developed.


name: iso-iec-cd-4213
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.618107+00:00
source: iso
source_id: ISO/IEC CD 4213
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%204213.html
doc_status: 3060
title:
  ISO/IEC CD 4213: Artificial intelligence — Performance measurement for AI classification, regression, clustering and recommendation tasks

abstract:
  This document specifies methodologies for measuring the performance of AI models for classification, regression, clustering and recommendation tasks.


name: iso-iec-awi-22989-2
rev: 00
title: ISO/IEC AWI 22989-2: Artificial intelligence — Concepts and terminology — Part 2: Healthcare
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.621569+00:00
source: iso
source_id: ISO/IEC AWI 22989-2
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2022989-2.html
doc_status: 2000
abstract:
  This document establishes terminology for Al and describes concepts in the field of AI for healthcare.This document can be used in the development of other standards and in support of communications among diverse, interested parties or stakeholders.This document is applicable to all types of organizations (e.g. commercial enterprises, government agencies, not-for-profit organizations).


name: iso-iec-awi-ts-25223
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.624983+00:00
source: iso
source_id: ISO/IEC AWI TS 25223
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%20TS%2025223.html
doc_status: 2000
title:
  ISO/IEC AWI TS 25223: Information technology — Artificial intelligence — Guidance and requirements for uncertainty quantification in AI systems

abstract:
  This document specifies general and technical guidance and requirements for the development and use of methods for the quantification of uncertainties in AI systems.This document defines fundamental terminology for uncertainty quantification in AI systems along with the characteristics of selected approaches to uncertainty quantification. The characteristics and approaches are then described through selected applications.This document describes aspects of quantification of uncertainties for all stages of the AI system life cycle.


name: iso-iec-cd-ts-22440-1
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.628394+00:00
source: iso
source_id: ISO/IEC CD TS 22440-1
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%20TS%2022440-1.html
doc_status: 3020
title:
  ISO/IEC CD TS 22440-1: Artificial intelligence — Functional safety and AI systems — Part 1: Requirements

abstract:
  ISO/IEC standard: Artificial intelligence — Functional safety and AI systems — Part 1: Requirements. Committee: ISO/IEC JTC 1/SC 42.


name: iso-iec-cd-ts-22440-2
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.631909+00:00
source: iso
source_id: ISO/IEC CD TS 22440-2
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%20TS%2022440-2.html
doc_status: 3020
title:
  ISO/IEC CD TS 22440-2: Artificial intelligence — Functional safety and AI systems — Part 2: Guidance

abstract:
  ISO/IEC standard: Artificial intelligence — Functional safety and AI systems — Part 2: Guidance. Committee: ISO/IEC JTC 1/SC 42.


name: iso-iec-cd-ts-22440-3
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.635452+00:00
source: iso
source_id: ISO/IEC CD TS 22440-3
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%20TS%2022440-3.html
doc_status: 3020
title:
  ISO/IEC CD TS 22440-3: Artificial intelligence — Functional safety and AI systems — Part 3: Examples of application

abstract:
  ISO/IEC standard: Artificial intelligence — Functional safety and AI systems — Part 3: Examples of application. Committee: ISO/IEC JTC 1/SC 42.


name: iso-iec-awi-ts-25258
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.638587+00:00
source: iso
source_id: ISO/IEC AWI TS 25258
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%20TS%2025258.html
doc_status: 2000
title:
  ISO/IEC AWI TS 25258: Information technology — Artificial intelligence — Hybrid AI inference framework for AI systems

abstract:
  This document provides effective guidance for an AI inference framework for AI systems with multiple tasks to generate output in the deployment process.


name: iso-cd-25268
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.642000+00:00
source: iso
source_id: ISO/CD 25268
source_url: https://www.iso.org/standard/ISO%2FCD%2025268.html
doc_status: 3099
title:
  ISO/CD 25268: Guidelines for Hospital Internal Logistics Services using Autonomous Mobile Robots for the Delivery of Pharmaceuticals

abstract:
  This document gives guidelines for Healthcare Organization Management including healthcare suppliers and manufacturers of Autonomous Mobile Robots (AMRs) where they implement the internal hospital logistics using autonomous mobile robots. It includes the key components that should be considered to provide safe and reliable internal hospital logistics of pharmaceutics. It covers physical arrangement of AMR including medication packaging, delivery chambers, emergency halt method and logistics environment of hospitals such as elevator in-and-out sequence, locations of the delivery.


name: iso-iec-cd-42007
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.645381+00:00
source: iso
source_id: ISO/IEC CD 42007
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%2042007.html
doc_status: 3060
title:
  ISO/IEC CD 42007: Information technology — Artificial intelligence — High-level framework and guidance for the development of conformity assessment schemes for AI systems

abstract:
  This document provides a high-level framework and guidance for the development and operation of conformity assessment schemes, including certification schemes, for artificial intelligence (AI) systems.


name: iso-awi-tr-24492
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.649082+00:00
source: iso
source_id: ISO/AWI TR 24492
source_url: https://www.iso.org/standard/ISO%2FAWI%20TR%2024492.html
doc_status: 1099
title:
  ISO/AWI TR 24492: Standardization needs for the application of artificial intelligence in the financial services industry

abstract:
  ISO/IEC standard: Standardization needs for the application of artificial intelligence in the financial services industry. Committee: ISO/IEC JTC 1/SC 42.


name: iso-iec-awi-25505
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.652324+00:00
source: iso
source_id: ISO/IEC AWI 25505
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2025505.html
doc_status: 2000
title:
  ISO/IEC AWI 25505: Information technology — Telecommunications and information exchange between systems — Charging communication interface protocols for autonomous moving achines

abstract:
  This International Standard defines the communication protocol architecture and message framework for wireless energy transfer and management in autonomous moving machines (AMMs) operating across heterogeneous wireless networks.It specifies logical communication structures above the MAC layer to enable energy transfer session coordination, device identification and authentication, session continuity, and seamless network handover during autonomous charging operations.This standard defines logical communication and message structures operating above the MAC layer, enabling interoperability across heterogeneous wireless networks such as wireless LAN (IEEE 802.11) and short-range wireless communication technologies (IEEE 802.15.4 family), without requiring changes or constraints to existing physical or MAC technologies.This International Standard is intended to be developed in multiple parts:•	Part 1 - Architecture and Requirements•	Part 2 - Communication Protocol•	Part 3 – Protocol for Communication Synchronization and OperationAdditional parts may be developed as needed to address related technical topics within the scope of this work item.


name: iso-iec-awi-tr-25523
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.655874+00:00
source: iso
source_id: ISO/IEC AWI TR 25523
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%20TR%2025523.html
doc_status: 2000
title:
  ISO/IEC AWI TR 25523: Information technology — Artificial intelligence — Overview of data profiles for analytics and ML

abstract:
  ISO/IEC standard: Information technology — Artificial intelligence — Overview of data profiles for analytics and ML. Committee: ISO/IEC JTC 1/SC 42.


name: iso-iec-awi-ts-25566
rev: 00
title: ISO/IEC AWI TS 25566: Terminology and concepts for domain engineering of AI systems
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.659180+00:00
source: iso
source_id: ISO/IEC AWI TS 25566
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%20TS%2025566.html
doc_status: 2000
abstract:
  This document provides terminology and concepts of domain engineering of AI systems.This document is intended for use by organizations developing, providing or using AI systems, regardless of the organisations’ size, type or sector.


name: iso-iec-awi-ts-25568
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.662638+00:00
source: iso
source_id: ISO/IEC AWI TS 25568
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%20TS%2025568.html
doc_status: 2000
title:
  ISO/IEC AWI TS 25568: Information technology — Artificial Intelligence — Guidance on addressing risks in generative AI systems

abstract:
  This document provides guidance on addressing risks in generative artificial intelligence (AI) systems. It includes:-	The objectives of generative AI systems when identifying risks.-	The risk sources and the stakeholders facing the risks in generative AI systems throughout its life cycle.-	Guidance for risk analysis, risk treatment and controls of addressing risks in generative AI systems.


name: iso-iec-awi-ts-25569
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.665969+00:00
source: iso
source_id: ISO/IEC AWI TS 25569
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%20TS%2025569.html
doc_status: 2000
title:
  ISO/IEC AWI TS 25569: Artificial Intelligence — Implementation guidance on de-identification of data used in Machine Learning (ML)

abstract:
  This document provides implementation guidance on de-identifying data used in machine learning. The guidance includes methods that can be used during machine learning model development.


name: iso-iec-awi-ts-25570
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.669304+00:00
source: iso
source_id: ISO/IEC AWI TS 25570
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%20TS%2025570.html
doc_status: 2000
title:
  ISO/IEC AWI TS 25570: Information Technology — Artificial Intelligence — Reliability assessment of AI systems

abstract:
  This document provides methods and mechanisms to assess the reliability of an AI system. It describes the metrics of reliability and the procedure for reliability assessment from a statistical perspective.


name: iso-iec-awi-ts-25571
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.672611+00:00
source: iso
source_id: ISO/IEC AWI TS 25571
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%20TS%2025571.html
doc_status: 1099
title:
  ISO/IEC AWI TS 25571: Artificial Intelligence — Example template for documenting ethical issues of an AI system

abstract:
  This document provides an example template for stakeholders to document potential ethical issues that can arise at each stage of the AI system lifecycle. It provides associated instructions for the use of the template.


name: iso-iec-awi-25589
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.675808+00:00
source: iso
source_id: ISO/IEC AWI 25589
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2025589.html
doc_status: 2000
title:
  ISO/IEC AWI 25589: Information technology — Artificial intelligence — Framework for human-machine teaming

abstract:
  This document describes a framework for human-machine teaming. This document provides concepts, terms and definitions applicable to describe the relationships between humans and machines in human-machine teaming, which refers to integration of human interaction with machine intelligence capabilities to enable problem solving and successful task completion.This document also describes a set of technical characteristics of human-machine teaming.This document provides a set of design principles for human-machine teaming.This document provides guidance based on ISO/IEC 5339 for developing and applying AI applications in human-machine teaming.


name: iso-iec-awi-25590
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.679011+00:00
source: iso
source_id: ISO/IEC AWI 25590
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2025590.html
doc_status: 2000
title:
  ISO/IEC AWI 25590: Information technology — Artificial intelligence — Guidance for output data quality of generative AI applications

abstract:
  Provide guidance to measure quality of output data obtained using generative AI applications. This document also provides key considerations towards output data quality which can be considered based on the context and usage of generative AI applications. This document addresses the need of stakeholders from make, use and impact perspective of generative AI application.


name: iso-iec-awi-25623
rev: 00
title: ISO/IEC AWI 25623: Artificial intelligence — Machine learning (ML) model description framework
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.682208+00:00
source: iso
source_id: ISO/IEC AWI 25623
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2025623.html
doc_status: 2000
abstract:
  This document provides a general description framework and elements of documentation for ML models to facilitate their management and use throughout the ML model life cycle. This document is applicable to any organization that develops, provides or uses ML models.


name: iso-iec-awi-42003
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.685429+00:00
source: iso
source_id: ISO/IEC AWI 42003
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2042003.html
doc_status: 2000
title:
  ISO/IEC AWI 42003: Information technology — Artificial intelligence — Guidance on the implementation of ISO/IEC 42001

abstract:
  This document provides guidance for implementing ISO/IEC 42001, including competencies for AI management systems (AIMS) professionals.This document is intended for use by any organization, regardless of size, type and nature that plans on referencing or implementing ISO/IEC 42001.


name: iso-dis-42501
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.688709+00:00
source: iso
source_id: ISO/DIS 42501
source_url: https://www.iso.org/standard/ISO%2FDIS%2042501.html
doc_status: 4000
title:
  ISO/DIS 42501: Sharing economy — General trustworthiness and safety requirements for digital platforms

abstract:
  <p>This document specifies general trustworthiness and safety requirements applicable to operators of digital platforms within the sharing economy. While this document does not cover system requirements for digital platforms, the document is still beneficial for system development.</p>


name: iso-iec-awi-ts-42119-7
rev: 00
title: ISO/IEC AWI TS 42119-7: Artificial intelligence — Testing of AI — Part 7: Red teaming
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.692319+00:00
source: iso
source_id: ISO/IEC AWI TS 42119-7
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%20TS%2042119-7.html
doc_status: 2000
abstract:
  This document provides technology-agnostic guidance for conducting red teaming assessments on AI systems. The document covers:— Definitions and terminology specific to red teaming in AI contexts— Identification of risks, applicability, objectives and attack vectors— Methodologies for planning and executing red teaming assessments on AI systems, aligned with ISO/IEC 29119 processes as appropriate— Procedures for documenting and reporting red teaming findings— Recommendations for integrating red teaming into the AI system lifecycleThis document is applicable to testing all types of AI systems.


name: iso-iec-awi-25704
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.696291+00:00
source: iso
source_id: ISO/IEC AWI 25704
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2025704.html
doc_status: 1099
title:
  ISO/IEC AWI 25704: Artificial Intelligence — Process assessment model for AI system life cycle processes

abstract:
  This document provides  a process assessment model as a basis for the assessment of AI process capability based on the process measurement framework for the processes performed during AI system life cycle stages in ISO/IEC 22989:2022. The processes performed during AI system life cycle stages are defined in ISO/IEC 5338:2023. Based on ISO/IEC 33020:2019, the process measurement framework provides a set of indicators for measuring performance and capability of those processes. These indicators are used as a basis for collecting evidence that enable an organization to determine its process capability level. This document applies to any type of organization, that provides, develops, or uses products or services that utilize AI systems.


name: iso-cd-21520
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.699928+00:00
source: iso
source_id: ISO/CD 21520
source_url: https://www.iso.org/standard/ISO%2FCD%2021520.html
doc_status: 3060
title:
  ISO/CD 21520: Project, programme and portfolio management — Artificial intelligence — Concepts, applications, and implications

abstract:
  This standard proposal outlines artificial intelligence (AI) concepts, applications, and implications, as well as benefits, risks, governance framework, and scope for use by organizations within the context of project, programme, and portfolio management (P3M).  This proposed standard is intended to supplement the other TC 258 standards and is in direct alignment with standards prepared by ISO/TC 258. This document provides guidance for organizations on what to consider when adopting or looking to improve on existing AI technologies that directly support P3M. This proposed standard is applicable to any organization, including public, private, and charitable, as well as to any type of project, regardless of purpose, delivery approaches, project or programme lifecycle model used, complexity, size, cost, or duration.  This document also provides (P3M) practitioners (including top-level management, project managers, PMO’s, etc.) with AI-related guidance and consideration in the areas of security, privacy, transparency, and bias, as well as related data governance, ethical and risk considerations.


name: iec-np-ts-62366-3
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.703172+00:00
source: iso
source_id: IEC/NP TS 62366-3
source_url: https://www.iso.org/standard/IEC%2FNP%20TS%2062366-3.html
doc_status: 1060
title:
  IEC/NP TS 62366-3: Medical devices — Part 3: Guidance on the application of usability engineering to medical devices using artificial intelligence and machine learning technology

abstract:
  This Part of IEC 62366, which is a Technical Specification, contains background information and provides guidance that addresses the specific areas that experience suggests can be helpful for those implementing the usability engineering process as defined in IEC 62366-1 for medical devices utilizing artificial intelligence and/or machine learning technology. The technical specification is not intended to be used for regulatory purposes. It contains no requirements and only provides guidance and tutorial information.


name: iso-iec-awi-ts-42119-8
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.706362+00:00
source: iso
source_id: ISO/IEC AWI TS 42119-8
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%20TS%2042119-8.html
doc_status: 2000
title:
  ISO/IEC AWI TS 42119-8: Artificial intelligence — Testing of AI — Part 8: Quality assessment of prompt-based text-to-text systems that utilize generative AI

abstract:
  This document provides definitions, concepts, requirements and guidance related to assessing prompt-based text-to-text AI systems that utilize generative AI. It covers quality assessment (which encompasses safety) using methodologies including red teaming and builds on existing standards such as ISO/IEC 23282 and ISO/IEC 42119-7. Additionally, it details methods for analyzing and interpreting results, as well as best practices for documentation


name: iso-iec-awi-25870
rev: 00
title: ISO/IEC AWI 25870: Artificial intelligence — Reporting for AI incidents
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.709471+00:00
source: iso
source_id: ISO/IEC AWI 25870
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2025870.html
doc_status: 2000
abstract:
  This document specifies a framework for data elements of reports of AI incidents that have occurred.This document is applicable to all types of organizations (e.g., commercial enterprises, government agencies, not-for-profit organizations).


name: iso-iec-awi-25872-1
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.712580+00:00
source: iso
source_id: ISO/IEC AWI 25872-1
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2025872-1.html
doc_status: 2000
title:
  ISO/IEC AWI 25872-1: Artificial intelligence — Knowledge enhancement for pretrained machine learning models — Part 1: Framework

abstract:
  This document describes the framework of knowledge enhancement for pretrained machine learning models, and also provides guidance on methods of knowledge enhancement.


name: iso-iec-awi-ts-25864
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.759720+00:00
source: iso
source_id: ISO/IEC AWI TS 25864
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%20TS%2025864.html
doc_status: 2000
title:
  ISO/IEC AWI TS 25864: Information technology — Artificial Intelligence (AI) — Resilience assessment of AI systems

abstract:
  This document provides methods and mechanisms to assess the resilience of AI systems. It describes a comprehensive framework comprising guidelines, methodologies, and quantifiable metrics to assess an AI system’s resilience.


name: iso-iec-np-25880
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.769077+00:00
source: iso
source_id: ISO/IEC NP 25880
source_url: https://www.iso.org/standard/ISO%2FIEC%20NP%2025880.html
doc_status: 1020
title:
  ISO/IEC NP 25880: Requirements and Guidance for the organizational implementation of human-machine teaming

abstract:
  This document specifies requirements and provides guidance for the organizational implementation of the human-machine teaming (HMT) in the practical operation of an AI system.This document applies to all user groups that develop, produce or use AI-Applications.


name: iso-awi-tr-25896
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.772119+00:00
source: iso
source_id: ISO/AWI TR 25896
source_url: https://www.iso.org/standard/ISO%2FAWI%20TR%2025896.html
doc_status: 2000
title:
  ISO/AWI TR 25896: Management of terminology resources - Artificial intelligence for terminology management

abstract:
  ISO/IEC standard: Management of terminology resources - Artificial intelligence for terminology management. Committee: ISO/TC 37/SC 3.


name: iso-iec-awi-25058
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.774999+00:00
source: iso
source_id: ISO/IEC AWI 25058
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2025058.html
doc_status: 2000
title:
  ISO/IEC AWI 25058: Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Measurement and guidance for quality evaluation of AI systems

abstract:
  This document provides measurement and guidance for quality evaluation of artificial intelligence (AI) systems using AI system quality models defined in ISO/IEC 25059. It contains a set of quality measures and guidance for AI system quality models.The document is applicable to all types of organizations engaged in the development and use of AI systems.


name: iso-awi-25922
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.777757+00:00
source: iso
source_id: ISO/AWI 25922
source_url: https://www.iso.org/standard/ISO%2FAWI%2025922.html
doc_status: 2000
title:
  ISO/AWI 25922: Ships and marine technology — Method for defining and allocating capabilities and responsibilities between maritime autonomous surface ships and their remote operators

abstract:
  The proposed standard specifies a method for describing the capabilities and responsibilities of a MASS and its human operators. This is based on certain assumptions for the functionality of automation systems and organization of the operators. The main assumptions are that for automation, it needs to have a deterministic performance and can be trusted to control ship functions without human supervision, under specified constraints. For operators, they need to be alerted to take over control sufficiently early enough to regain situational awareness before actions are required. The organization of the operators must also provide a deterministic worst case response time for the operator from being alerted to be able to safely take actions.Given these assumptions, this document provides guidance on how the specifications can be created effectively and in a standardized way. The reason for using standards in system descriptions is for ease of understanding between the different parties to MASS operations, system operator, ship owner, system designer, authorities and class societies.


name: iso-awi-25934
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.780891+00:00
source: iso
source_id: ISO/AWI 25934
source_url: https://www.iso.org/standard/ISO%2FAWI%2025934.html
doc_status: 2000
title:
  ISO/AWI 25934: Ships and marine technology — Guidelines for the development of verification procedures for autonomous navigation systems

abstract:
  This document specifies a structured process for the development of verification procedures for autonomous navigation systems used in Maritime Autonomous Surface Ships (MASS), in accordance with ISO standards related to safety and system reliability assessment. The procedure is intended to ensure the systematic verification of safety and reliability of the constituent systems of MASS, with particular attention to the safe navigation system. The guidelines apply to various modes of operation of MASS and are intended to support manufacturers, ship operators, and regulatory authorities in formulating verification procedures adapted to MASS specific operational requirements.


name: iso-iec-cd-30147
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.784422+00:00
source: iso
source_id: ISO/IEC CD 30147
source_url: https://www.iso.org/standard/ISO%2FIEC%20CD%2030147.html
doc_status: 3000
title:
  ISO/IEC CD 30147: Information technology — Internet of Things (IoT) - Integration of IoT trustworthiness activities in ISO/IEC/IEEE 15288 system engineering processes

abstract:
  ISO/IEC standard: Information technology — Internet of Things (IoT) - Integration of IoT trustworthiness activities in ISO/IEC/IEEE 15288 system engineering processes. Committee: ISO/IEC JTC 1/SC 41.


name: iso-awi-tr-19182
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.787760+00:00
source: iso
source_id: ISO/AWI TR 19182
source_url: https://www.iso.org/standard/ISO%2FAWI%20TR%2019182.html
doc_status: 2000
title:
  ISO/AWI TR 19182: Geographic information — How to incorporate Geospatial Artificial Intelligence (GeoAI) in geographic information standards

abstract:
  ISO/IEC standard: Geographic information — How to incorporate Geospatial Artificial Intelligence (GeoAI) in geographic information standards. Committee: ISO/TC 211.


name: iso-iec-awi-23888-5
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.790754+00:00
source: iso
source_id: ISO/IEC AWI 23888-5
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2023888-5.html
doc_status: 2000
title:
  ISO/IEC AWI 23888-5: Information technology — Artificial intelligence for multimedia — Part 5: AI-based dynamic point cloud compression

abstract:
  This project will define bitstream syntax and semantics of encoded point clouds, and decoding procedure to reconstruct point clouds.


name: iso-iec-awi-23888-4
rev: 00
title: ISO/IEC AWI 23888-4: Artificial intelligence for multimedia — Part 4: Feature coding for machines
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.793521+00:00
source: iso
source_id: ISO/IEC AWI 23888-4
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2023888-4.html
doc_status: 2000
abstract:
  This project will define a bitstream format and decoding process for compression of features extracted from video that is efficient in terms of bitrate, performance of machine tasks and computational complexity.


name: iso-iec-awi-26090-1
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.796424+00:00
source: iso
source_id: ISO/IEC AWI 26090-1
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2026090-1.html
doc_status: 2000
title:
  ISO/IEC AWI 26090-1: Information technology — City Knowledge trustworthiness evaluation — Part 1: Overview and concepts

abstract:
  This document provides an overview of city knowledge trustworthiness and its evaluation in the context of smart cities, including the following: concepts relevant to city knowledge trustworthiness and its evaluation; characteristics of trustworthiness of city knowledge; and methodology for the evaluation of city knowledge trustworthiness.This document also provides some use cases for city knowledge use in smart cities and some cases for city knowledge trustworthiness evaluation.


name: iso-iec-awi-26160
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.799485+00:00
source: iso
source_id: ISO/IEC AWI 26160
source_url: https://www.iso.org/standard/ISO%2FIEC%20AWI%2026160.html
doc_status: 2000
title:
  ISO/IEC AWI 26160: Information security, cybersecurity and privacy protection — Enhancing the ISO/IEC 15408 series and ISO/IEC 18045 for the Evaluation of Artificial Intelligence (AI) Functionality

abstract:
  This document provides:•	AI-specific application notes for relevant security assurance requirements (SARs) from ISO/IEC 15408-3 (CC Part 3), and•	AI-specific application notes for relevant work units (WUs) from ISO/IEC 18045 (CEM) presented as defined in ISO/IEC 15408-4 (CC Part 4).The document also considers AI-specific security functional requirements (SFRs) in an extended security functional requirement class for AI (based on ISO/IEC 15408-3 (CC Part 2)).


name: iso-iec-pwi-26200
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.802754+00:00
source: iso
source_id: ISO/IEC PWI 26200
source_url: https://www.iso.org/standard/ISO%2FIEC%20PWI%2026200.html
doc_status: 60
title:
  ISO/IEC PWI 26200: Standard Framework for Evaluation, Ethical Use, and Interoperability of Large Language Models (LLMs) in AI Systems

abstract:
  This proposal aims to establish an international standard for the evaluation, ethical governance, and interoperability of Large Language Models (LLMs) in AI systems. The standard will define testing methodologies, performance assessment criteria, bias mitigation strategies, risk management protocols, and best practices for responsible deployment. It will also outline security considerations, industry-specific applications, and regulatory alignment to ensure the safe and effective integration of LLMs across various domains, including healthcare, finance, education, and public services.This standard does not address the evaluation of non-language AI models or proprietary language models, and the focus is on open, general-purpose LLMs and their integration into AI systems.


name: iso-np-ts-25280-1
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.806167+00:00
source: iso
source_id: ISO/NP TS 25280-1
source_url: https://www.iso.org/standard/ISO%2FNP%20TS%2025280-1.html
doc_status: 1060
title:
  ISO/NP TS 25280-1: Information and documentation — Records management and Artificial Intelligence — Principles and Considerations — — Part 1: Part 1: Records management in artificial intelligence enabled environment

abstract:
  This document provides principles and outlines consideration for records management in support of AI-enabled business, covering both AI-generated and AI-associated records.Note: This document is applicable to records management for artificial intelligence in all types of organizations.


name: iso-np-ts-25280-2
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.809476+00:00
source: iso
source_id: ISO/NP TS 25280-2
source_url: https://www.iso.org/standard/ISO%2FNP%20TS%2025280-2.html
doc_status: 1060
title:
  ISO/NP TS 25280-2: Information and documentation — Records management and Artificial Intelligence — Principles and Considerations — — Part 2: Part 2: Application of artificial intelligence capabilities for records management

abstract:
  This document provides principles and outlines considerations for applying AI to records controls, records processes, as well as records and archives systems.Note: This document is applicable to artificial intelligence for records management in all types of organizations.


name: iso-awi-26253
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.813274+00:00
source: iso
source_id: ISO/AWI 26253
source_url: https://www.iso.org/standard/ISO%2FAWI%2026253.html
doc_status: 2000
title:
  ISO/AWI 26253: Guidelines for establishing a centralized control system for hospital’s internal pharmaceutical logistics using autonomous mobile robots

abstract:
  This document offers guidelines for the management of Healthcare Organizations, inclusive of healthcare suppliers and manufacturers of Autonomous Mobile Robots (AMRs). It is applicable when these organizations implement internal logistics in hospitals using AMRs. The document delineates the fundamental guidelines for the establishment and the operation of a Centralized Control System (CCS) required for AMR operation. It includes the key components necessary to ensure the safe and reliable logistics of pharmaceuticals within the hospital. The document encompasses the roles of the CCS in a unexpected functional failure response procedures, real-time monitoring information, managing hardware operation, communication targets, schedule management and task allocation, as well as record-keeping.


name: iso-iec-22989-2022-awi-amd-2
rev: 00
time: 2022/AWI Amd 2
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.816570+00:00
source: iso
source_id: ISO/IEC 22989:2022/AWI Amd 2
source_url: https://www.iso.org/standard/ISO%2FIEC%2022989.html
doc_status: 2000
title:
  ISO/IEC 22989:2022/AWI Amd 2: Information technology — Artificial intelligence — Artificial intelligence concepts and terminology — Amendment 2

abstract:
  ISO/IEC standard: Information technology — Artificial intelligence — Artificial intelligence concepts and terminology — Amendment 2. Committee: ISO/IEC JTC 1/SC 42.


name: iso-iec-23053-2022-awi-amd-2
rev: 00
time: 2022/AWI Amd 2
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.819721+00:00
source: iso
source_id: ISO/IEC 23053:2022/AWI Amd 2
source_url: https://www.iso.org/standard/ISO%2FIEC%2023053.html
doc_status: 2000
title:
  ISO/IEC 23053:2022/AWI Amd 2: Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) — Amendment 2

abstract:
  ISO/IEC standard: Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) — Amendment 2. Committee: ISO/IEC JTC 1/SC 42.


name: iso-iec-np-ts-26312
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.822740+00:00
source: iso
source_id: ISO/IEC NP TS 26312
source_url: https://www.iso.org/standard/ISO%2FIEC%20NP%20TS%2026312.html
doc_status: 1020
title:
  ISO/IEC NP TS 26312: Information technology — Artificial intelligence — Identification and treatment of bias in AI by healthcare organizations

abstract:
  This document describes how to identify and address bias in AI systems for health serviceorganizations during procurement, implementation, and monitoring of these systems used to supportthe delivery and allocation of care and preventative services. This includes both clinician-facing, andpatient-facing AI applications provided to patients by their healthcare organization.This document is focused on bias in AI models, specifically models that exhibit decreasedaccuracy or cause differential impact that may unfairly disadvantage certain demographicgroups (also referred to as “protected classes” in some jurisdictions). This includesalgorithmic bias, data representation bias, labelling bias, and deployment-related bias. Thisdocument takes a broad view of bias, acknowledging that unfairness in AI outcomes mayarise from a variety of technical and non-technical sources throughout the AI systemlifecycle.This document is applicable to all types and sizes of health service organizations (e.g.hospitals, laboratories, pharmacies, community radiology clinics, and primary or ambulatorycare services), and stakeholders involved in regulating AI use within health serviceorganizations.This document does not consider AI system development or manufacturing processes, asthese are expected to be addressed in separate standards (noting that some health serviceorganizations may be directly involved in the development or manufacture of AI systems).Similarly, the document does not cover personal bias that may be exhibited by end users ofAI systems (e.g. cognitive or automation bias).


name: iso-iec-np-ts-26320.2
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.826102+00:00
source: iso
source_id: ISO/IEC NP TS 26320.2
source_url: https://www.iso.org/standard/ISO%2FIEC%20NP%20TS%2026320.2.html
doc_status: 1060
title:
  ISO/IEC NP TS 26320.2: Artificial intelligence — Corpus development and maintenance for natural language processing systems

abstract:
  This document establishes principles, frameworks and methods for developing and maintaining corpora that are used for natural language processing (NLP) systems. It includes requirements and recommendations for corpus construction and application, and provides guidance and measures for quality evaluation of corpora used for NLP systems.This document is applicable for all organizations involved in any stage of an AI system life cycle.


name: iso-cd-19178-2
rev: 00
title: ISO/CD 19178-2: Training data markup language for artificial intelligence — Part 2: JSON encoding
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.829210+00:00
source: iso
source_id: ISO/CD 19178-2
source_url: https://www.iso.org/standard/ISO%2FCD%2019178-2.html
doc_status: 3099
abstract:
  ISO/IEC standard: Training data markup language for artificial intelligence — Part 2: JSON encoding. Committee: ISO/TC 211.


name: iso-cd-19178-3
rev: 00
title: ISO/CD 19178-3: Training data markup language for artificial intelligence — Part 3: XML encoding
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.832427+00:00
source: iso
source_id: ISO/CD 19178-3
source_url: https://www.iso.org/standard/ISO%2FCD%2019178-3.html
doc_status: 3099
abstract:
  ISO/IEC standard: Training data markup language for artificial intelligence — Part 3: XML encoding. Committee: ISO/TC 211.


name: iso-iec-np-26582
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.835564+00:00
source: iso
source_id: ISO/IEC NP 26582
source_url: https://www.iso.org/standard/ISO%2FIEC%20NP%2026582.html
doc_status: 1020
title:
  ISO/IEC NP 26582: Artificial intelligence — Conformity assessment for the functional correctness of an AI system

abstract:
  This document specifies requirements and guidance for the conformity assessment of the functional correctness of an AI system based on the quality models for AI systems provided by ISO/IEC 25059.This document is applicable for all types of AI systems.


name: iso-np-26604-1
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.838398+00:00
source: iso
source_id: ISO/NP 26604-1
source_url: https://www.iso.org/standard/ISO%2FNP%2026604-1.html
doc_status: 1020
title:
  ISO/NP 26604-1: Agricultural machinery and tractors — Safety of autonomous machinery — Part 1: Soil-Working Machinery

abstract:
  This document specifies the safety requirements and the means of verification for the design and construction of agricultural machinery and tractors and their use with the intended implements, interchangeable equipment and tools that operate autonomously (autonomous machinery (see 3.1) / autonomous operation (see 3.2)) in agricultural soil-working applications (soil-working machinery). Additionally, it provides guidance on the type of information to be provided by the manufacturer on safe working practices (including information about residual risks).  Soil-working applications include (but not limited to):  tilling (e.g. plowing, soil conditioning); mechanical weeding; land levelling; Etc. Agriculture includes (but not limited to):  row crop fields; orchards; vineyards; greenhouses; Etc. This document deals with significant hazards, hazardous situations and events, as listed in Annex C, relevant to this autonomous machinery when used as intended and under the conditions of misuse reasonably foreseeable by the manufacturer during normal operation and service.  NOTE 1		Safety requirements for specific non-automated and partially automated functions of agricultural machinery and tractors, as well as machine-specific components (e.g. working tools), can be available in machine-specific type-C standards. This document is not applicable to: forestry applications; operations on public roads including relevant requirements for braking and steering systems; environmental hazards; pedestrian controlled2 machinery; machinery requiring or allowing the option for a local operator in a local operator station to provide manual non-automated or partially automated functions or operations to complete a soil-working cycle of work in autonomous operation; application of crop or soil products; application of crop or soil products in combination with soil-working. The use of partially or fully self-evolving behavior or logic with varying levels of autonomy in the design and constructio


name: iso-np-26609
rev: 00
abstract: This document sets requirements for assessing AI and AuI systems used with 2D radiographs.
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.841731+00:00
source: iso
source_id: ISO/NP 26609
source_url: https://www.iso.org/standard/ISO%2FNP%2026609.html
doc_status: 1020
title:
  ISO/NP 26609: Dentistry — Requirements for Assessing 2D Dental Radiography Artificial Intelligence (AI) and Augmented Intelligence (AuI) Analysis Applications


name: iso-np-pas-8800-1
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.845024+00:00
source: iso
source_id: ISO/NP PAS 8800-1
source_url: https://www.iso.org/standard/ISO%2FNP%20PAS%208800-1.html
doc_status: 1000
title:
  ISO/NP PAS 8800-1: Road vehicles — Safety and artificial intelligence — Part 1: Definitions and concepts

abstract:
  ISO/IEC standard: Road vehicles — Safety and artificial intelligence — Part 1: Definitions and concepts. Committee: ISO/TC 22.


name: iso-np-pas-8800-2
rev: 00
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:31.848269+00:00
source: iso
source_id: ISO/NP PAS 8800-2
source_url: https://www.iso.org/standard/ISO%2FNP%20PAS%208800-2.html
doc_status: 1000
title:
  ISO/NP PAS 8800-2: Road vehicles — Safety and artificial intelligence — Part 2: General requirements

abstract:
  <p class='MsoBodyText'><span lang='EN-GB'>This document applies to safety-related systems that include one or more electrical and/or electronic (E/E) systems that use AI technology and that is installed in series production road vehicles, excluding mopeds. It does not address unique E/E systems in special vehicles, such as E/E systems designed for drivers with disabilities.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document addresses the risk of undesired safety-related behaviour at the vehicle level due to output insufficiencies, systematic errors and random hardware errors of AI elements within the vehicle. This includes interactions with AI elements that are not part of the vehicle itself but that can have a direct or indirect impact on vehicle safety.</span></p><p class='Example'><span lang='EN-GB'>EXAMPLE 1<span style='mso-tab-count: 1;'>         </span>Examples of AI elements within the vehicle include the trained AI model and AI system.</span></p><p class='Example'><span lang='EN-GB'>EXAMPLE 2<span style='mso-tab-count: 1;'>         </span>Direct impact on safety can be due to object detection by elements external to the vehicle.</span></p><p class='Example'><span lang='EN-GB'>EXAMPLE 3<span style='mso-tab-count: 1;'>         </span>Indirect impact on safety can be due to field monitoring by elements external to the vehicle.</span></p><p class='MsoBodyText'><span lang='EN-GB'>The development of AI elements that are not part of the vehicle is not within the scope of this document. These elements can conform to domain-specific safety guidance. This document can be used as a reference where such domain-specific guidance does not exist.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document describes safety-related properties of AI systems that can be used to construct a convincing safety assurance claim for the absence of unreasonable risk.</span></p><p class='MsoBodyText'><span lang='EN-GB'>This document does not provide specific guide


name: nist-ai-100-1
rev: 00
title: NIST AI 100-1: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
time: 2023-01-26
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:35.855438+00:00
source: nist
source_id: AI 100-1
source_url: https://csrc.nist.gov/pubs/ai/100/1/final
doc_status: final
abstract:
  The AI RMF provides a framework for managing risks associated with AI systems throughout their lifecycle, addressing characteristics of trustworthy AI including validity, reliability, safety, security, resilience, accountability, transparency, explainability, interpretability, privacy, and fairness.


name: nist-ai-100-2-e2025
rev: 00
time: 2025-03-24
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:35.869813+00:00
source: nist
source_id: AI 100-2 E2025
source_url: https://csrc.nist.gov/pubs/ai/100/2/e2025/final
doc_status: final
title:
  NIST AI 100-2 E2025: Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations

abstract:
  Establishes a taxonomy of adversarial machine learning attacks and mitigations, covering evasion, poisoning, and privacy attacks against predictive AI and generative AI systems including LLMs.


name: nist-ai-100-4
rev: 00
title: NIST AI 100-4: Reducing Risks Posed by Synthetic Content
time: 2024-07-26
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:35.874109+00:00
source: nist
source_id: AI 100-4
source_url: https://csrc.nist.gov/pubs/ai/100/4/final
doc_status: final
abstract:
  Provides guidance on approaches to manage risks from synthetic content generated by AI, including authentication, provenance tracking, and content labeling.


name: nist-ai-600-1
rev: 00
title: NIST AI 600-1: Artificial Intelligence Risk Management Framework: Generative AI Profile
time: 2024-07-26
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:35.877875+00:00
source: nist
source_id: AI 600-1
source_url: https://csrc.nist.gov/pubs/ai/600/1/final
doc_status: final
abstract:
  Companion resource for the AI RMF focusing on risks unique to or exacerbated by generative AI, covering hallucinations, data privacy, intellectual property, and CBRN information risks.


name: nist-sp-800-218a
rev: 00
time: 2024-07-26
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:35.882397+00:00
source: nist
source_id: SP 800-218A
source_url: https://csrc.nist.gov/pubs/sp/800/218/a/final
doc_status: final
title:
  NIST SP 800-218A: Secure Software Development Practices for Generative AI and Dual-Use Foundation Models

abstract:
  An SSDF community profile providing secure software development practices specific to generative AI and dual-use foundation models, addressing data management, model training, and deployment security.


name: nist-ir-8596
rev: 00
title: NIST IR 8596: Cybersecurity Framework Profile for Artificial Intelligence
time: 2025-12-16
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:35.885887+00:00
source: nist
source_id: IR 8596
source_url: https://csrc.nist.gov/pubs/ir/8596/ipd
doc_status: draft
abstract:
  A community profile mapping NIST Cybersecurity Framework functions to AI-specific risks and controls, helping organizations manage cybersecurity risks in AI systems.


name: nist-cswp-31
rev: 00
title: NIST CSWP 31: Proxy Validation and Verification for Critical AI Systems
time: 2024-09-26
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:35.889563+00:00
source: nist
source_id: CSWP 31
source_url: https://csrc.nist.gov/pubs/cswp/31/final
doc_status: final
abstract:
  Describes a proxy design process for validation and verification of critical AI systems, addressing challenges of testing AI systems that are complex and opaque.


name: nist-ir-8579
rev: 00
title: NIST IR 8579: Developing the NCCoE Chatbot: Technical and Security Learnings
time: 2025-07-31
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:35.893622+00:00
source: nist
source_id: IR 8579
source_url: https://csrc.nist.gov/pubs/ir/8579/ipd
doc_status: draft
abstract:
  Documents technical and security lessons from implementing an LLM-based chatbot at the National Cybersecurity Center of Excellence, including prompt injection mitigations.


name: nist-nist-ai-agent-iam
rev: 00
time: 2026-02-05
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:35.897582+00:00
source: nist
source_id: NIST-AI-Agent-IAM
doc_status: draft
title:
  NIST NIST-AI-Agent-IAM: Accelerating the Adoption of Software and AI Agent Identity and Authorization

abstract:
  Concept paper on identity and authorization for AI agents, addressing how software agents authenticate, authorize, and maintain accountability in automated systems.

source_url:
  https://csrc.nist.gov/publications/detail/other/2026/02/05/accelerating-the-adoption-of-software-and-artificial-intelligence-agent-identity-and-authorization/draft


name: nist-ai-100-6
rev: 00
title: NIST AI 100-6: AI Measurement and Evaluation
time: 2024-04-29
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:35.901608+00:00
source: nist
source_id: AI 100-6
source_url: https://csrc.nist.gov/pubs/ai/100/6/final
doc_status: final
abstract:
  Guidance on measurement and evaluation approaches for AI systems to assess trustworthiness characteristics including accuracy, fairness, robustness, and security.


name: nist-ai-100-1-playbook
rev: 00
title: NIST AI 100-1 Playbook: AI RMF Playbook
time: 2023-01-26
states: []
categories: []
tags: []
fetched_at: 2026-03-08T17:36:35.905438+00:00
source: nist
source_id: AI 100-1 Playbook
source_url: https://airc.nist.gov/AI_RMF_Playbook
doc_status: final
abstract:
  Practical companion to the AI RMF providing suggested actions for achieving AI risk management outcomes, organized by the framework's functions: Govern, Map, Measure, and Manage.


name: draft-li-rtgwg-distributed-lossless-framework
rev: 00
title: Framework of Distributed AIDC Network
time: 2025-04-24T07:05:48Z
group_uri: /api/v1/group/group/1027/
expires: 2025-04-24T13:15:14Z
states: ["/api/v1/doc/state/2/", "/api/v1/doc/state/150/"]
categories: []
tags: []
fetched_at: 2026-03-08T17:35:46.185224+00:00
source: ietf
source_id: 139886
source_url: https://datatracker.ietf.org/doc/draft-li-rtgwg-distributed-lossless-framework/
doc_status: active
abstract:
  With the rapid development of large language models, it puts forward
     higher requirements for the networking scale of data centers.
     Distributed model training has been proposed to shorten the training
     time and relieve the resource demand in a single data center.This
     document proposes a framework to address the challenge of efficient
     lossless interconnection and reliable data transmission between
     multiple data centers, which can connect multiple data centers to
     form a larger cluster through network connection.  The document
     further conducts in-depth research on the key technologies and
     application scenarios of this distributed AIDC network.


name: draft-voit-rats-trustworthy-path-routing
rev: 12
title: Trusted Path Routing
time: 2026-01-09T07:09:03Z
group_uri: /api/v1/group/group/1027/
expires: 2026-01-08T15:06:07Z
states: ["/api/v1/doc/state/2/", "/api/v1/doc/state/150/"]
categories: []
tags: []
fetched_at: 2026-03-08T17:35:46.198949+00:00
source: ietf
source_id: 96900
source_url: https://datatracker.ietf.org/doc/draft-voit-rats-trustworthy-path-routing/
doc_status: active
abstract:
  There are end-users who believe encryption technologies like IPSec
     alone are insufficient to protect the confidentiality of their highly
     sensitive traffic flows.  These end-users want their flows to
     traverse devices which have been freshly appraised and verified for
     trustworthiness.  This specification describes Trusted Path Routing.
     Trusted Path Routing protects sensitive flows as they transit a
     network by forwarding traffic to/from sensitive subnets across
     network devices recently appraised as trustworthy.


name: draft-toorop-dnsop-ranking-dns-data
rev: 00
title: Ranking Domain Name System data
time: 2024-09-05T07:06:28Z
group_uri: /api/v1/group/group/1027/
expires: 2024-09-05T21:12:25Z
states: ["/api/v1/doc/state/2/", "/api/v1/doc/state/150/"]
categories: []
tags: []
fetched_at: 2026-03-08T17:35:46.206933+00:00
source: ietf
source_id: 133931
source_url: https://datatracker.ietf.org/doc/draft-toorop-dnsop-ranking-dns-data/
doc_status: active
abstract:
  This document extends the list ranking the trustworthiness of domain
     name system (DNS) data (see Section 5.4.1 of [RFC2181]).  The list is
     extended with entries for root server names and addresses built-in
     resolvers, and provided via a root hints file with the lowest
     trustworthiness, as wel as an entry for data which is verifiable
     DNSSEC secure with the highest trustworthiness.  This document
     furthermore assigns ranked values to the positions of the list for
     easier reference and comparison of trustworthiness of DNS data.


name: draft-sandowicz-httpbis-httpa2
rev: 03
title: The Hypertext Transfer Protocol Attestable (HTTPA) Version 2
time: 2024-05-07T07:05:01Z
group_uri: /api/v1/group/group/1027/
expires: 2024-05-08T02:04:50Z
states: ["/api/v1/doc/state/2/", "/api/v1/doc/state/150/"]
categories: []
tags: []
fetched_at: 2026-03-08T17:35:46.210443+00:00
source: ietf
source_id: 110746
source_url: https://datatracker.ietf.org/doc/draft-sandowicz-httpbis-httpa2/
doc_status: active
abstract:
  The Hypertext Transfer Protocol Attestable version 2 (HTTPA/2) is an
     HTTP extension.  It is a transaction-based protocol agnostic to
     Transport Layer Security (TLS) in which the Trusted Execution
     Environment (TEE) is considered a new type of requested resource over
     the Internet.  The original Hypertext Transfer Protocol Attestable
     (HTTPA) (referred to as HTTPA/1 in the rest of the document) includes
     remote attestation (RA) process onto the HTTPS protocol in the
     assumption of using Transport Layer Security (TLS) across the
     Internet.  In contrast, the design of HTTPA/2 could establish a
     trusted (attested) and more secure communication without dependence
     on TLS.

     The definition of Attestation for the purposes of this draft:

     The process of vouching for the accuracy of TEE based services,
     configuration, and data where the TEE conveys Evidence about its
     environment, roots of trust and protected functions.  The Evidence is
     a digital expression of TEE trustworthiness.


name: draft-chen-secure-routing-use-cases
rev: 03
title: The Use Cases for Secure Routing Path
time: 2024-05-18T07:05:01Z
group_uri: /api/v1/group/group/1027/
expires: 2024-05-19T03:43:22Z
states: ["/api/v1/doc/state/2/", "/api/v1/doc/state/150/"]
categories: []
tags: []
fetched_at: 2026-03-08T17:35:46.223128+00:00
source: ietf
source_id: 114460
source_url: https://datatracker.ietf.org/doc/draft-chen-secure-routing-use-cases/
doc_status: active
abstract:
  Current routing mechanism is based on the shortest path, which only
     take the link status and the path accessibility into consideration,
     without the security and trustworthiness of links and forwarding
     nodes.  As security has become an important factor to the user.  This
     paper proposes to add security factor in the routing process.

     With the frequent occurrence of security incidents, services security
     is an essential demand for the users.  As there are many security
     devices in the ISP's network, this draft proposes secure routing
     mechanism.  The purpose of secure routing is to converge security and
     routing to ensure the secure data transmission.

     The scope is transmission process security, while end-to-end security
     and application layer security are out of scope.


