A1ISO 23053 Amendment 1 Revision CheckerBase edition 2022, amendment at FDIS

ISO/IEC 23053:2022/FDAmd 1, stage 50.00

The generative AI amendment to the AI framework, read from the record.

ISO/IEC 23053 gives an organisation a shared way to describe a machine learning system. Amendment 1 adds generative AI to that vocabulary. This site records what is public, labels what is not held, and gives a governance lead a dated plan and an evidence trail. 32 unit pages, free.

Read from the real rules, not invented. Every line this record gives points to the ISO record behind it, so you can check any line yourself.

Read from the real rules21 base units and 3 amendment units behind itCheck any line yourself

Kit USD 799 one off  |  Watch USD 49 a month  |  Free clause record

Three colleagues work around a table with a notebook and a laptop
A description someone else can check is the deliverable.

01The short answer

Three things are true at once.

The framework is published

ISO/IEC 23053:2022 describes the components of an ML system and the pipeline that builds one. It is a vocabulary, not a rulebook.

The amendment is not published

Amendment 1 is at stage 50.00. The public draft summary names its additions; the final text is not held and is not invented here.

No certification exists

You cannot be certified to 23053, and no transition audit follows from it. ISO/IEC 42001 is the certifiable management system standard.

The buying question is not "how do we certify". It is "can we show, before the publication date, that our generative systems are described in the current vocabulary and that their risks are recorded".

02Free check

Your position, read against the record.

The check uses your role, your systems, your 42001 position, a date and one data question. It returns a named planning position and never defaults to a pass. Your answers are computed in the browser and are not sent to us.

Start with your dates

Five answers, computed from the record in your browser. Your answers are not sent or stored.

1. What is your role?
2. Do you build, buy or operate an ML-based AI system?

The next scheduled audit, surveillance visit or management review. Leave blank if not known.

5. Is generated content used in training or fine-tuning?
See what the draft adds

Not legal advice; does not certify. This is a planning reading from your answers, not a compliance result. ISO/IEC 23053 sets no certifiable requirements and there is no certification scheme against it.

03The rules this is built from

Read from the real rules, not invented.

The base record is written from ISO/IEC 23053:2022: 21 substantive units, read from the public contents and the public sample at clauses 1 to 6.3. The amendment record carries the 3 additions the public draft summary states. Every page names its unit and links the ISO record, so a reader can check any line.

The base framework

21 units, published edition, 36 pages, ISO/IEC JTC 1/SC 42. Open the framework record.

The amendment

3 public draft additions at stage 50.00. Open the amendment record.

Nothing here is guessed while you wait. Every answer is written from the public record and points to the exact rule it came from.

04What the draft adds

Two new entries, one expanded note, one reference.

  • A new entry at 6.5.3.2.9 describes transformer architecture and algorithm, including encoder-decoder structure, self-attention and the difference between encoder-only and decoder-only use.
  • A new entry at 6.5.3.2.10 defines a generative model as one that produces new data from a learned distribution, and lists the model families it covers.
  • The note at 7.5 on self-supervised learning is expanded with the model collapse risk of training on generated output over successive cycles.
  • The bibliography is updated with a survey of AI-generated content.

The public summary is the only account of the draft's technical content. It is a summary, not the text, and this site says so on every page that relies on it. Read the full amendment record.

What it is

An extension of the framework's model vocabulary at the point where a practitioner chooses an algorithm family. The base structure, the pipeline and the annex are not replaced.

What it is not

A new management system requirement, a certification scheme, a transition deadline or a legal obligation. Those are separate instruments, and the 42001 record is where they belong.

05The record

One page for every public unit.

32 pages: 28 base clauses and subclauses, 1 informative annex, and 3 pages for the amendment's additions. Each page states what the base framework establishes, whether the draft touches it, the evidence a reviewer samples and the preparation step.

The public structure, with the draft status of each unit.
UnitTitleAmendment status
1ScopeNot touched by the draft
2Normative referencesNot touched by the draft
3.1Model development and useNot touched by the draft
3.2ToolsNot touched by the draft
3.3DataNot touched by the draft
4Abbreviated termsNot touched by the draft
5OverviewNot touched by the draft
6.1Overview of the machine learning systemNot touched by the draft
6.2TaskNot touched by the draft
6.3ModelNot touched by the draft
6.4DataNot touched by the draft
6.5ToolsNew material added by the draft
6.5.3Categories of machine learning algorithmsNew entries added by the draft
6.5.3.2.9Transformer architecture and algorithmNew in the draft
6.5.3.2.10Generative modelNew in the draft
7.1GeneralNot touched by the draft
7.2Supervised machine learningNot touched by the draft
7.3Unsupervised machine learningNot touched by the draft
7.4Semi-supervised machine learningNot touched by the draft
7.5Self-supervised machine learningNote expanded in the draft
7.6Reinforcement machine learningNot touched by the draft
7.7Transfer learningNot touched by the draft
8.1GeneralNot touched by the draft
8.2Data acquisitionNot touched by the draft
8.3Data preparationNot touched by the draft
8.4ModellingNot touched by the draft
8.5Verification and validationNot touched by the draft
8.6Model deploymentNot touched by the draft
8.7OperationNot touched by the draft
8.8Example machine learning process based on the pipelineNot touched by the draft
AAnnex A: Example data flow and data use statementsNot touched by the draft
BIBBibliography and the AI-generated content referenceNew reference in the draft

Open the clause record

06The paid kit

The register a reviewer can walk.

The kit carries every unit with an owner, a due date, a status and an evidence pointer. It adds the dated plan, the synthetic data rule, the model collapse check and the supplier questions for foundation models. PDF for the meeting, CSV for your register, XLSX for the team.

USD 799 one off. No account. Released against a paid Stripe session.

See what is included

What the free record already gives you

  • All 32 unit pages, cited
  • The amendment record and what is not held
  • The scope and date reading
  • The method, the sources and the changelog
  • The dated plan

The kit adds the working register and the columns. It does not add facts that are not on the free record.

07Four markets

The same framework, four different obligations around it.

The framework is international. What a governance lead must actually do is set by the market. The record names the held instruments for the United States, the European Union, the United Kingdom and Australia, and says where a regime is named but not held.

Read the market record

08Questions

What buyers ask first.

Is ISO/IEC 23053 certifiable?

No. ISO/IEC 23053 is a framework and terminology standard. It sets no certifiable requirements, and no certification scheme exists against it. The management system standard that an organisation can be certified to is ISO/IEC 42001.

What is Amendment 1?

A final draft amendment to ISO/IEC 23053:2022, titled Generative AI. The public draft adds a transformer architecture entry and a generative model definition to the algorithm catalogue, expands the note on model collapse at 7.5, and updates the bibliography.

When will it be published?

ISO has not announced a date. The ISO stage is 50.00, recorded on 28 August 2026. This site uses 16 February 2027 as a planning estimate, 120 days from the build date. The CEN-CENELEC adoption project lists 4 April 2027 for the European text.

Does the amendment create a transition deadline?

No. No accreditation body has published a transition rule, and there is nothing to transition a certificate to. The date matters because a 42001 audit after it will expect the AI system description to use the current vocabulary.

Who is this for?

AI governance leads, ISO/IEC 42001 implementers and ML platform leads in organisations that build, buy or operate generative AI. The free check says plainly when a role is outside its scope.

What is in the USD 799 kit?

The full obligation register for all 32 units, the evidence list, the dated plan, the synthetic data rule and the generative system questions, exported as PDF, CSV and XLSX. One payment, no subscription.

What does the USD 49 a month watch do?

It emails you when the ISO stage, the public draft summary, the CEN date, the parallel 22989 amendment or a recorded date changes. The email carries the diff, not a newsletter.

09Who wrote this

Gerard Blokdyk, The Art of Service.

I build compliance records that state each line in plain English and point to the source behind it. This record was written from the public ISO pages, the public base sample and the public draft summary on 21 October 2026. It is not affiliated with ISO or IEC and it does not certify anyone.

About the record and the method