Safety, Ethics & Governance · beginner · concept 270 of 311 · Updated Nov 4, 2026
AI Risk Management
AI risk management is the routine of finding what could go wrong with an AI system, judging how likely and how serious it is, and reducing it. Frameworks such as the NIST AI RMF and catalogs such as the MIT AI Risk Repository give teams a shared starting list. It treats AI like other business risk: named owners, recorded decisions and regular review.
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Top AI contributors on this
- Geoffrey HintonUniversity of Toronto (emeritus)
- Yoshua BengioLawZero / Université de Montréal
- Ilya SutskeverSafe Superintelligence Inc. (SSI)
- Dario AmodeiAnthropic
- Sam AltmanOpenAI
- Stuart RussellUC Berkeley
Key terms
NIST AI RMFRisk registerLikelihood and impactMitigationResidual risk
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