The MIT AI Risk Repository created an AI Risk Mitigation Database, which reviewed 13 overarching documents proposing organizational mitigations for AI risks, including internal frameworks. The database contains 831 mitigations and are split into four control taxonomies: governance and oversight, technical and security, operation process, and transparency and accountability.
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