MIT AI Risk Repository Selected for 2025 Paris Peace Forum AI Action Summit
A globally adopted, structured AI risk database drawn from 56 frameworks could inform APS risk categorisation and governance work.
Key points
- MIT AI Risk Repository was selected among 50 projects from 770 applications to present at the 2025 Paris AI Action Summit.
- The repository compiles over 1,000 AI risks from 56 frameworks into two structured taxonomies - causal and domain-based.
- The resource is publicly accessible and already adopted by governments and researchers globally, making it potentially useful for APS risk work.
Implications for Australian agencies
- Consider APS risk and governance practitioners could consider referencing the MIT AI Risk Repository when developing or reviewing agency-level AI risk frameworks, given its breadth of source material.
- Monitor Policy teams may want to monitor outputs or publications from the AI Action Summit for emerging international consensus on AI risk categorisation.
Implications are AI-generated. Starting points, not advice — see methodology for how they're framed.
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"MIT AI Risk Repository Selected for 2025 Paris Peace Forum AI Action Summit"
Source: MIT AI Risk Repository – Blog
Published: 17 January 2025
URL: https://airisk.mit.edu/blog/mit-ai-risk-repository-selected-for-2025-paris-peace-forum-ai-action-summit
The MIT AI Risk Repository has been selected to participate in the February 2025 Paris Peace Forum AI Action Summit, one of 50 projects chosen from 770 applications across 111 countries. The repository aggregates and categorises over 1,000 AI risks extracted from 56 existing frameworks, structured through a Causal Taxonomy (examining how, when, and why risks occur) and a Domain Taxonomy (spanning 7 domains and 23 subdomains). The resource is publicly accessible, has received over 100,000 website visits, and has been adopted by companies, governments, and researchers worldwide. This announcement is primarily event-focused but points to a substantive underlying resource worth noting.
Implications for Australian agencies:
- [Consider] APS risk and governance practitioners could consider referencing the MIT AI Risk Repository when developing or reviewing agency-level AI risk frameworks, given its breadth of source material.
- [Monitor] Policy teams may want to monitor outputs or publications from the AI Action Summit for emerging international consensus on AI risk categorisation.
Retrieved from SIMS, 18 July 2026.