AI risk management
Definition
AI risk management is the process of identifying, measuring, treating and monitoring the risks of specific AI systems, including errors, bias, security weaknesses, privacy harms and over-reliance by users.
Why It Matters
It turns governance principles into decisions about which systems may run, with which controls and under whose oversight.
Latest Coverage
- BMA issues updated guidance for segregated and separate account insurers, effective 1 January 2027 26 October 2026
- BMA updates guidance for segregated and separate account general business insurers 25 October 2026
- BMA publishes updated guidance note for general business SAC insurers, effective 1 January 2027 24 October 2026
More in AI Governance and Regulation.
Related Terms
- AI governance
- EU AI Act
- NIST AI Risk Management Framework
- ISO/IEC 42001
- High-risk AI system
- Human in the loop
- Explainability
- AI audit
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