Explore the Frameworks in the AI Risk Mitigation Database

Compiled by Sophia Lloyd George

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Explore the Frameworks in the AI Risk Mitigation Database

We’ve published a new resource that provides a transparent view of the research base in the AI Risk Mitigation Database and draft AI Risk Mitigation Taxonomy.

You can now view and explore frameworks and documents included in the current version of the Database in a public Google Slides deck:

🔗 Access the deck here: AI Risk Mitigations Repository: Included Frameworks

This slide deck includes:

• The full list of included sources (13 documents as of the Evidence Scan)
• Key excerpts, diagrams, and taxonomies from each framework
• Source details and publication information for citation and follow-up

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Why we created this

The database is grounded in an evidence scan of AI risk mitigation classifications across academic, industry, and policy literature. To ensure transparency and support further research, we’re making it easy for others to:

• See the specific documents that informed our taxonomies
• Examine original frameworks in context
• Build on this work for their own reviews or audits

We hope this resource will be useful for researchers, policymakers, and governance professionals seeking to navigate the growing landscape of AI risk mitigation frameworks.

For further details on the methodology, taxonomies, and data behind the Repository, see our evidence scan. We are also conducting a systematic review of mitigation frameworks.

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