The draft updates the bibliography, including a survey of AI-generated content, which is a reading list rather than an obligation.
What the base framework establishes
The public summary of the draft says the bibliography is updated and names a survey of AI-generated content among the additions. A bibliography entry creates no duty and changes no definition. Its value is directional: it tells a reader where the committee looked for the generative AI material, and it gives a governance team one credible technical source for the risks of generated content. The final bibliography is not held, so this page records only what the public summary states and does not present the list as complete.
Why it matters to an AI management system
Reference lists are how a framework shows its evidence base. When a board asks why the framework now treats generated content as a risk, the bibliography is the answer: the committee added a survey of the field. It is also a cheap way to give an engineering team a shared reading list.
The public draft adds material at BIB. Its final wording is not held, so this page records what the draft summary states and does not present it as published text. New in the draft. The public summary names the addition; the full bibliography is not held and is not reproduced.
Evidence a reviewer samples
| Category | Artefact |
|---|---|
| Reference register | The standards and papers relied on in the AI system description. |
| Reading record | Who read the generative content reference and what changed as a result. |
| Version note | The date the reference list was checked against the published edition. |
One question to prepare for. Which technical source did the committee add for generative AI, and has your team read it?
Common gaps
- The organisation cites the framework but has read none of its technical sources.
- A reference is cited from a secondary summary and the edition is wrong.
- The reading list is never refreshed after publication.
Prepare before publication
Add the generative content reference to the AI reading list and record who read it. Refresh the list when the amendment is published.
Dates that matter
No separate date attaches to BIB; the record dates are the stage date, the planning estimate and the CEN expectation stated above.
Cross-references
6.5.3.2.10 Generative model · 7.5 Self-supervised machine learning
Source
Source for BIB: ISO/IEC 23053:2022/FDAmd 1, bibliography update (public draft summary). The public sample stops before BIB, so this page relies on the public contents and the public summary and does not quote the clause. The two official records are linked on this page so any line can be checked.
Not legal advice; does not certify. A reading of the framework and the evidence a reviewer commonly samples, not a substitute for the standard or your auditor's rules.