Explore the Frameworks Behind the AI Risk Repository
A transparent, citable compendium of 65 AI risk frameworks gives APS governance teams a structured starting point for taxonomy development or risk audits.
Key points
- MIT AI Risk Repository v3 now includes a public Google Slides deck covering 65 source frameworks and documents.
- The deck provides excerpts, taxonomies, and citations from academic, industry, and policy AI risk literature.
- Useful reference for APS governance professionals building or auditing AI risk taxonomies and frameworks.
Implications for Australian agencies
- Consider APS governance teams developing or reviewing AI risk taxonomies could assess whether the MIT Repository's 65-source compendium informs or validates their current framework choices.
- Monitor Policy and assurance teams may want to monitor subsequent versions of the Repository as the AI risk landscape evolves and new frameworks are incorporated.
Implications are AI-generated. Starting points, not advice — see methodology for how they're framed.
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"Explore the Frameworks Behind the AI Risk Repository"
Source: MIT AI Risk Repository – Blog
Published: 4 April 2025
URL: https://airisk.mit.edu/blog/explore-the-frameworks-behind-the-ai-risk-repository
MIT has published a companion resource to the AI Risk Repository (Version 3, April 2025) in the form of a publicly accessible Google Slides deck. It covers all 65 source documents underpinning the Repository's taxonomies, including excerpts, diagrams, and citation details drawn from academic, industry, and policy literature. The release is aimed at researchers, policymakers, and governance professionals. For APS teams developing or reviewing AI risk frameworks, this provides a consolidated, transparent reference to peer and international approaches without requiring independent literature searches.
Implications for Australian agencies:
- [Consider] APS governance teams developing or reviewing AI risk taxonomies could assess whether the MIT Repository's 65-source compendium informs or validates their current framework choices.
- [Monitor] Policy and assurance teams may want to monitor subsequent versions of the Repository as the AI risk landscape evolves and new frameworks are incorporated.
Retrieved from SIMS, 18 July 2026.