Project Updates: December 2024
A widely-used global AI risk taxonomy is expanding toward regulatory crosswalks and institutional response evaluation - tools APS risk and governance teams may find directly applicable.
Key points
- MIT AI Risk Repository has reached 90,000+ users since August 2024, used by governments and companies globally.
- A new AI Risk Index project launching Q1 2025 will evaluate how key actors respond to high-priority AI risks.
- Planned crosswalking of the repository's taxonomies against NIST AI RMF and EU AI Act is directly useful for APS risk practitioners.
Implications for Australian agencies
- Monitor APS AI risk and governance teams may want to monitor the AI Risk Index project as it develops, particularly its evaluation of regulatory and institutional responses to priority risks.
- Consider Agencies developing or refreshing AI risk frameworks could assess whether MIT's taxonomy crosswalks against NIST AI RMF and EU AI Act offer a useful reference point alongside Australian frameworks.
Implications are AI-generated. Starting points, not advice — see methodology for how they're framed.
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"Project Updates: December 2024"
Source: MIT AI Risk Repository – Blog
Published: 30 December 2024
URL: https://airisk.mit.edu/blog/december-2024-update
MIT's AI Risk Repository has grown rapidly since its August 2024 launch, attracting 90,000+ users and integration into government and industry AI risk workflows. The December 2024 update adds 13 new frameworks - including Australian-authored sources - and announces the AI Risk Index, a 2025-2026 initiative to document and evaluate how AI developers, companies, and regulators respond to priority AI risks. Planned enhancements include crosswalking the repository's taxonomies against NIST AI RMF and EU AI Act, and producing risk domain profiles with real-world incident examples. MIT is seeking expert collaborators, funding partners, and end-users to shape the project.
Implications for Australian agencies:
- [Monitor] APS AI risk and governance teams may want to monitor the AI Risk Index project as it develops, particularly its evaluation of regulatory and institutional responses to priority risks.
- [Consider] Agencies developing or refreshing AI risk frameworks could assess whether MIT's taxonomy crosswalks against NIST AI RMF and EU AI Act offer a useful reference point alongside Australian frameworks.
Retrieved from SIMS, 18 July 2026.