Repository Update: December 2025
A maturing, structured AI risk taxonomy - APS teams developing risk frameworks or governance assessments have a richer reference base to draw on.
Key points
- MIT AI Risk Repository Version 4 now includes over 1,700 coded risks drawn from 74 published frameworks.
- Nine newly added frameworks span government reports, peer-reviewed papers, and industry sources, including a UK DSIT frontier AI paper.
- A structured, living reference for AI risk taxonomy - useful for APS governance and risk assessment work.
Implications for Australian agencies
- Consider APS teams developing or reviewing AI risk frameworks could consider cross-referencing the MIT repository's taxonomy against their existing risk registers to identify coverage gaps.
- Monitor Policy and governance teams may want to monitor future repository versions as a signal of emerging risk categories not yet reflected in Australian guidance.
Implications are AI-generated. Starting points, not advice — see methodology for how they're framed.
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Appeared in:
Weekly digest, 1 December 2025
"Repository Update: December 2025"
Source: MIT AI Risk Repository – Blog
Published: 4 December 2025
URL: https://airisk.mit.edu/blog/repository-update-december-2025
MIT's AI Risk Repository has released Version 4, expanding its structured database to over 1,700 coded AI risk categories drawn from 74 frameworks. Nine newly added frameworks include analyses of generative AI incidents, embodied AI risks, frontier AI capabilities from the UK's DSIT, agentic AI risks in scientific contexts, and a six-stage risk management framework from Shanghai AI Lab and Concordia AI. The repository uses a causal taxonomy and domain taxonomy to help researchers, policymakers, and practitioners identify, compare, and address AI risks systematically. It is publicly accessible and accepts community contributions.
Implications for Australian agencies:
- [Consider] APS teams developing or reviewing AI risk frameworks could consider cross-referencing the MIT repository's taxonomy against their existing risk registers to identify coverage gaps.
- [Monitor] Policy and governance teams may want to monitor future repository versions as a signal of emerging risk categories not yet reflected in Australian guidance.
Retrieved from SIMS, 18 July 2026.