Repository Updates: December 2024
A living, cross-jurisdiction AI risk taxonomy consolidates reference material that APS risk and governance teams would otherwise need to track separately.
Key points
- MIT AI Risk Repository adds 13 new frameworks in its December 2024 update, now covering over 1,000 AI risks from 56 sources.
- Newly added frameworks include NIST AI 600-1, China's AI Safety Governance Framework, and the UK Government Office for Science frontier AI report.
- Australian contributors are among the authoring jurisdictions; the repository commits to quarterly updates through 2025.
Implications for Australian agencies
- Consider APS risk and governance teams developing or reviewing AI risk frameworks could consider using the MIT repository as a cross-referencing resource rather than conducting independent literature scans.
- Monitor Teams tracking international AI safety standards may want to monitor quarterly updates, particularly if the 2025 major revision adds or removes risk categories with implications for Australian frameworks.
Implications are AI-generated. Starting points, not advice — see methodology for how they're framed.
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"Repository Updates: December 2024"
Source: MIT AI Risk Repository – Blog
Published: 31 December 2024
URL: https://airisk.mit.edu/blog/framework-updates-december-2024
MIT's AI Risk Repository has published its December 2024 update, adding 13 frameworks to a database now containing over 1,000 classified AI risks drawn from 56 published sources. Newly incorporated documents span peer-reviewed research, government reports, and preprints from the US, UK, EU, China, Canada, Australia, and Germany, covering topics from generative AI misuse and frontier AI risks to AGI safety and governance options under regulatory uncertainty. Significant additions include NIST AI 600-1 (the generative AI profile for the NIST AI RMF), the UK Government Office for Science frontier AI risks report, and China's AI Safety Governance Framework. The repository is committed to quarterly updates through 2025, with a potential major structural revision to risk categories as a stretch goal.
Implications for Australian agencies:
- [Consider] APS risk and governance teams developing or reviewing AI risk frameworks could consider using the MIT repository as a cross-referencing resource rather than conducting independent literature scans.
- [Monitor] Teams tracking international AI safety standards may want to monitor quarterly updates, particularly if the 2025 major revision adds or removes risk categories with implications for Australian frameworks.
Retrieved from SIMS, 18 July 2026.