SIST EN ISO/IEC 23053:2023/oprA1:2025
(Amendment)Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) - Amendment 1: Generative AI (ISO/IEC 23053:2022/DAmd1:2025)
Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) - Amendment 1: Generative AI (ISO/IEC 23053:2022/DAmd1:2025)
Framework für Systeme der Künstlichen Intelligenz (KI) basierend auf maschinellem Lernen (ML) - Änderung 1: Generative KI (ISO/IEC 23053:2022/DAmd 1:2025)
Cadre pour les systèmes d'intelligence artificielle (IA) qui utilisent l'apprentissage machine (ML) - Amendement 1: IA générative (iso/iec 23053:2022/DAmd1:2025)
Okvir za sisteme umetne inteligence (UI), ki temeljijo na strojnem učenju - Dopolnilo A1: Generativna UI (ISO/IEC 23053:2022/DAmd1:2025)
General Information
- Status
- Not Published
- Public Enquiry End Date
- 12-Nov-2025
- Technical Committee
- UMI - Artificial intelligence
- Current Stage
- 4020 - Public enquire (PE) (Adopted Project)
- Start Date
- 09-Sep-2025
- Due Date
- 27-Jan-2026
- Completion Date
- 21-Nov-2025
Relations
- Effective Date
- 11-Sep-2025
Overview
EN ISO/IEC 23053:2023/prA1:2025 is Amendment 1 to ISO/IEC 23053:2022, updating the Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) to address Generative AI. Circulated as a draft (ISO/IEC 23053:2022/DAM 1:2025), the amendment adds definitions and guidance for generative models, transformer architectures, and risks unique to AI-generated content (AIGC). Key additions include new clauses 6.5.3.2.9 and 6.5.3.2.10 and an expanded note on model collapse in Clause 7.5.
Key Topics
Transformer architecture and algorithm (Clause 6.5.3.2.9)
- Describes encoder-decoder structures, self-attention mechanisms, and how transformers enable high parallelization for training and deployment of large language models (LLMs).
- Notes distinctions: encoder-only models (representation/embeddings) vs decoder-only models (generative tasks such as summarization and question answering).
Generative model definition (Clause 6.5.3.2.10)
- Defines generative models that produce new data from learned distributions, covering probabilistic models and non-probabilistic examples (EBMs, texture synthesis, cellular automata).
- Lists model types: autoencoders, VAEs, GANs, normalizing flows, transformers, diffusion models, Boltzmann Machines, RBMs, Hopfield Networks, and autoregressive models.
Model collapse risk (Clause 7.5 addition)
- Warns that training models on outputs from generative AI (self-supervised on synthetic data) can reduce performance over iterations, a phenomenon called model collapse - often worsening with repeated cycles.
Reference material
- Bibliography update includes a survey of AI-Generated Content: Cao et al., ACM Computing Surveys (2024).
Applications
- AI governance and risk teams: incorporate guidance on generative AI risks, model validation, and lifecycle controls.
- ML/AI engineers and architects: use transformer and generative model descriptions to align design and documentation with international terminology.
- Compliance, procurement, and certification bodies: reference the amendment when assessing generative AI systems against industry best practice.
- Researchers and educators: clarify definitions and emerging failure modes (e.g., model collapse) for study and training.
Related Standards
- ISO/IEC 23053:2022 (base framework) - this amendment extends the 2022 standard.
- ISO/IEC JTC 1/SC 42 (AI standardization committee) - responsible technical committee.
This amendment is relevant for organizations using or deploying Generative AI, large language models, and AIGC workflows seeking standardized terminology and risk considerations aligned with international best practice.
Frequently Asked Questions
SIST EN ISO/IEC 23053:2023/oprA1:2025 is a draft published by the Slovenian Institute for Standardization (SIST). Its full title is "Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) - Amendment 1: Generative AI (ISO/IEC 23053:2022/DAmd1:2025)". This standard covers: Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) - Amendment 1: Generative AI (ISO/IEC 23053:2022/DAmd1:2025)
Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) - Amendment 1: Generative AI (ISO/IEC 23053:2022/DAmd1:2025)
SIST EN ISO/IEC 23053:2023/oprA1:2025 is classified under the following ICS (International Classification for Standards) categories: 35.020 - Information technology (IT) in general. The ICS classification helps identify the subject area and facilitates finding related standards.
SIST EN ISO/IEC 23053:2023/oprA1:2025 has the following relationships with other standards: It is inter standard links to SIST EN ISO/IEC 23053:2023. Understanding these relationships helps ensure you are using the most current and applicable version of the standard.
You can purchase SIST EN ISO/IEC 23053:2023/oprA1:2025 directly from iTeh Standards. The document is available in PDF format and is delivered instantly after payment. Add the standard to your cart and complete the secure checkout process. iTeh Standards is an authorized distributor of SIST standards.
Standards Content (Sample)
SLOVENSKI STANDARD
01-november-2025
Okvir za sisteme umetne inteligence (UI), ki temeljijo na strojnem učenju -
Dopolnilo A1: Generativna UI (ISO/IEC 23053:2022/DAmd1:2025)
Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) -
Amendment 1: Generative AI (ISO/IEC 23053:2022/DAmd1:2025)
Framework für Systeme der Künstlichen Intelligenz (KI) basierend auf maschinellem
Lernen (ML) - Änderung 1: Generative KI (ISO/IEC 23053:2022/DAmd 1:2025)
Cadre pour les systèmes d'intelligence artificielle (IA) qui utilisent l'apprentissage
machine (ML) - Amendement 1: IA générative (iso/iec 23053:2022/DAmd1:2025)
Ta slovenski standard je istoveten z: EN ISO/IEC 23053:2023/prA1:2025
ICS:
35.020 Informacijska tehnika in Information technology (IT) in
tehnologija na splošno general
SIST EN ISO/IEC en,fr,de
23053:2023/oprA1:2025
2003-01.Slovenski inštitut za standardizacijo. Razmnoževanje celote ali delov tega standarda ni dovoljeno.
DRAFT
Amendment
ISO/IEC
23053:2022/
DAM 1
ISO/IEC JTC 1/SC 42
Framework for Artificial
Secretariat: ANSI
Intelligence (AI) Systems Using
Voting begins on:
Machine Learning (ML)
2025-08-25
AMENDMENT 1: Generative AI
Voting terminates on:
2025-11-17
ICS: 35.020
THIS DOCUMENT IS A DRAFT CIRCULATED
FOR COMMENTS AND APPROVAL. IT
IS THEREFORE SUBJECT TO CHANGE
AND MAY NOT BE REFERRED TO AS AN
INTERNATIONAL STANDARD UNTIL
PUBLISHED AS SUCH.
This document is circulated as received from the committee secretariat.
IN ADDITION TO THEIR EVALUATION AS
BEING ACCEPTABLE FOR INDUSTRIAL,
TECHNOLOGICAL, COMMERCIAL AND
USER PURPOSES, DRAFT INTERNATIONAL
STANDARDS MAY ON OCCASION HAVE TO
ISO/CEN PARALLEL PROCESSING
BE CONSIDERED IN THE LIGHT OF THEIR
POTENTIAL TO BECOME STANDARDS TO
WHICH REFERENCE MAY BE MADE IN
NATIONAL REGULATIONS.
RECIPIENTS OF THIS DRAFT ARE INVITED
TO SUBMIT, WITH THEIR COMMENTS,
NOTIFICATION OF ANY RELEVANT PATENT
RIGHTS OF WHICH THEY ARE AWARE AND TO
PROVIDE SUPPORTING DOCUMENTATION.
Reference number
© ISO/IEC 2025
ISO/IEC 23053:2022/DAM 1:2025(en)
DRAFT
ISO/IEC 23053:2022/DAM 1:2025(en)
Amendment
ISO/IEC
23053:2022/
DAM 1
ISO/IEC JTC 1/SC 42
Framework for Artificial
Secretariat: ANSI
Intelligence (AI) Systems Using
Voting begins on:
Machine Learning (ML)
AMENDMENT 1: Generative AI
Voting terminates on:
ICS: 35.020
THIS DOCUMENT IS A DRAFT CIRCULATED
FOR COMMENTS AND APPROVAL. IT
IS THEREFORE SUBJECT TO CHANGE
AND MAY NOT BE REFERRED TO AS AN
INTERNATIONAL STANDARD UNTIL
PUBLISHED AS SUCH.
This document is circulated as received from the committee secretariat.
IN ADDITION TO THEIR EVALUATION AS
BEING ACCEPTABLE FOR INDUSTRIAL,
© ISO/IEC 2025
TECHNOLOGICAL, COMMERCIAL AND
USER PURPOSES, DRAFT INTERNATIONAL
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no part of this publication may
STANDARDS MAY ON OCCASION HAVE TO
ISO/CEN PARALLEL PROCESSING
be reproduced or utilized otherwise in any form or by any means, electronic or mechanical, including photocopying, or posting on
BE CONSIDERED IN THE LIGHT OF THEIR
the internet or an intranet, without prior written permission. Permission can be requested from either ISO at the address below
POTENTIAL TO BECOME STANDARDS TO
WHICH REFERENCE MAY BE MADE IN
or ISO’s member body in the country of the requester.
NATIONAL REGULATIONS.
ISO copyright office
RECIPIENTS OF THIS DRAFT ARE INVITED
CP 401 • Ch. de Blandonnet 8
TO SUBMIT, WITH THEIR COMMENTS,
CH-1214 Vernier, Geneva
NOTIFICATION OF ANY RELEVANT PATENT
Phone: +41 22 749 01 11
RIGHTS OF WHICH THEY ARE AWARE AND TO
PROVIDE SUPPORTING DOCUMENTATION.
Email: copyright@iso.org
Website: www.iso.org
Published in Switzerland Reference number
© ISO/IEC 2025
ISO/IEC 23053:2022/DAM 1:2025(en)
© ISO/IEC 2025 – All rights reserved
ii
ISO/IEC 23053:2022/DAM 1:2025(en)
Foreword
ISO (the International Organization for Standardization) is a worldwide federation of national standards
bodies (ISO member bodies). The work of preparing International Standards is normally carried out through
ISO technical committees. Each member body interested in a subject for which a technical committee
has been established has the right to be represented on that committee. International organizations,
governmental and non-governmental, in liaison with ISO, also take part in the work. ISO collaborates closely
with the International Electrotechnical Commission (IEC) on all matters of electrotechnical standardization.
The procedures used to develop this document and those intended for its further maintenance are described
in the ISO/IEC Directives, Part 1. In particular, the different approval criteria needed for the different types
of ISO documents should be noted. This document was drafted in accordance with the editorial rules of the
ISO/IEC Directives, Part 2 (see www.iso.org/directives).
ISO draws attention to the possibility that the implementation of this document may involve the use of (a)
patent(s). ISO takes no position concerning the evidence, validity or applicability of any claimed patent
rights in respect thereof. As of the date of publication of this document, ISO had not received notice of (a)
patent(s) which may be required to implement this document. However, implementers are cautio
...
Questions, Comments and Discussion
Ask us and Technical Secretary will try to provide an answer. You can facilitate discussion about the standard in here.
Loading comments...