{"slug": "silent-revision-measuring-undisclosed-change-in-ai-safety-frameworks", "title": "Silent Revision: Measuring Undisclosed Change in AI Safety Frameworks", "summary": "A new arXiv paper introduces the 'silent revision rate' and finds that 67% of material changes to frontier AI developers' safety frameworks are undisclosed, based on an analysis of 710 commitment instances across twelve version pairs from twelve developers. The study, which also reports that 77% of traced changes weaken or remove commitments, argues that publication duties should include an enumeration duty to make revisions auditable.", "body_md": "# Computer Science > Computers and Society\n\n  [Submitted on 8 Sep 2026]\n\n# Title:Silent Revision: Measuring Undisclosed Change in the Safety Frameworks of Frontier AI Developers\n\n[View PDF](/pdf/2609.08789)\n\n[HTML (experimental)](https://arxiv.org/html/2609.08789v1)\n\nAbstract:Frontier AI developers publish safety frameworks that commit them to evidencing whether their models are dangerous. The European Union and California now treat these documents as instruments of accountability, and both already impose duties on their revision. Neither requires the revision to be legible, in the sense that a reader could learn from the developer's own account what changed. We introduce the silent revision rate, the share of material changes to a framework's commitments that the developer's published account does not identify, and we release the versioned, hash-pinned corpus needed to compute it. The corpus contains every public version of the safety frameworks of the twelve developers that have published one, together with each provider's changelog, redline or announcement. We trace 710 commitment instances across twelve consecutive version pairs, code them against a frozen codebook, and adjudicate 244 individually. Three findings follow. First, 67% of material changes (95% CI 62 to 72) are silent under a strict standard and 53% under a lenient one, falling to 49% at section granularity. Second, silence appears to track the form of the account, since narrative announcements run at 74% against 63% for itemised changelogs, whereas account length in words barely matters; on the test that respects nesting the difference is suggestive. Third, 77% of traced changes weaken or remove a commitment, and in seven of eight pairs weakenings are more often silent than strengthenings. The statutory remedy therefore exists and specifies the wrong artefact. A justification explains why a framework changed, an enumeration states what changed, and only the latter makes revision auditable. We argue that publication duties should carry an enumeration duty, which one provider already meets, voluntarily and incompletely.\n    \n\n### Current browse context:\n\ncs.CY\n\n### References & Citations\n\nLoading...\n\n# Bibliographic and Citation Tools\n\nBibliographic Explorer \n\n*(*[What is the Explorer?](https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer))\nConnected Papers \n\n*(*[What is Connected Papers?](https://www.connectedpapers.com/about))\nLitmaps \n\n*(*[What is Litmaps?](https://www.litmaps.co/))\nscite Smart Citations \n\n*(*[What are Smart Citations?](https://www.scite.ai/))\n# Code, Data and Media Associated with this Article\n\nalphaXiv \n\n*(*[What is alphaXiv?](https://alphaxiv.org/))\nCatalyzeX Code Finder for Papers \n\n*(*[What is CatalyzeX?](https://www.catalyzex.com))\nDagsHub \n\n*(*[What is DagsHub?](https://dagshub.com/))\nGotit.pub \n\n*(*[What is GotitPub?](http://gotit.pub/faq))\nHugging Face \n\n*(*[What is Huggingface?](https://huggingface.co/huggingface))\nScienceCast \n\n*(*[What is ScienceCast?](https://sciencecast.org/welcome))\n# Demos\n\n# Recommenders and Search Tools\n\nInfluence Flower \n\n*(*[What are Influence Flowers?](https://influencemap.cmlab.dev/))\nCORE Recommender \n\n*(*[What is CORE?](https://core.ac.uk/services/recommender))\n# arXivLabs: experimental projects with community collaborators\n\narXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.\n\nBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.\n\nHave an idea for a project that will add value for arXiv's community? [**Learn more about arXivLabs**](https://info.arxiv.org/labs/index.html).", "url": "https://wpnews.pro/news/silent-revision-measuring-undisclosed-change-in-ai-safety-frameworks", "canonical_source": "https://arxiv.org/abs/2609.08789", "published_at": "2026-09-09 07:07:14+00:00", "updated_at": "2026-09-09 07:29:48.407610+00:00", "lang": "en", "topics": ["ai-safety", "ai-policy", "ai-research"], "entities": ["arXiv", "European Union", "California"], "alternates": {"html": "https://wpnews.pro/news/silent-revision-measuring-undisclosed-change-in-ai-safety-frameworks", "markdown": "https://wpnews.pro/news/silent-revision-measuring-undisclosed-change-in-ai-safety-frameworks.md", "text": "https://wpnews.pro/news/silent-revision-measuring-undisclosed-change-in-ai-safety-frameworks.txt", "jsonld": "https://wpnews.pro/news/silent-revision-measuring-undisclosed-change-in-ai-safety-frameworks.jsonld"}}