Explore the Frameworks in the AI Risk Mitigation Database
A consolidated, citable evidence base for AI risk mitigation frameworks gives APS governance teams a faster starting point for taxonomy and audit work.
Key points
- MIT AI Risk Repository publishes a transparent, publicly accessible deck of 13 AI risk mitigation frameworks.
- The resource consolidates academic, industry, and policy sources into a draft AI Risk Mitigation Taxonomy for governance use.
- Useful reference for APS teams building or auditing internal AI risk frameworks, though not Australia-specific.
Implications for Australian agencies
- Consider APS governance and assurance teams could assess whether the MIT taxonomy complements or aligns with existing Australian risk frameworks such as those referenced in the DTA's responsible AI policy.
- Monitor Agencies building AI risk registers or mitigation taxonomies may want to monitor MIT's forthcoming systematic review for evidence that could inform internal methodology.
Implications are AI-generated. Starting points, not advice — see methodology for how they're framed.
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"Explore the Frameworks in the AI Risk Mitigation Database"
Source: MIT AI Risk Repository – Blog
Published: 29 August 2025
URL: https://airisk.mit.edu/blog/explore-frameworks-in-the-ai-risk-mitigation-database
MIT's AI Risk Repository has published a publicly accessible Google Slides deck cataloguing 13 AI risk mitigation frameworks drawn from an evidence scan of academic, industry, and policy literature. The deck includes key excerpts, diagrams, taxonomies, and source details, supporting transparency and reproducibility. A draft AI Risk Mitigation Taxonomy is also in development, alongside a forthcoming systematic review. The resource is positioned for use by researchers, policymakers, and governance professionals navigating the increasingly crowded landscape of AI risk mitigation frameworks.
Implications for Australian agencies:
- [Consider] APS governance and assurance teams could assess whether the MIT taxonomy complements or aligns with existing Australian risk frameworks such as those referenced in the DTA's responsible AI policy.
- [Monitor] Agencies building AI risk registers or mitigation taxonomies may want to monitor MIT's forthcoming systematic review for evidence that could inform internal methodology.
Retrieved from SIMS, 18 July 2026.