NIST AI Risk Management Framework (AI RMF 1.0) AIRMF-MS-2.6: AI system is evaluated regularly for safety risks as identified in the MAP function, is demonstrated to be safe, its residual negative risk does not exceed the risk tolerance, and it can fail safely, particularly if made to operate beyond its knowledge limits
AI system is evaluated regularly for safety risks – as identified in the MAP function. The AI system to be deployed is demonstrated to be safe, its residual negative risk does not exceed the risk tolerance, and can fail safely, particularly if made to operate beyond its knowledge limits. Safety metrics implicate system reliability and robustness, real-time monitoring, and response times for AI system failures. Safety is evaluated on a recurring basis against the mapped safety risks, residual risk is compared to the stated tolerance, and behaviour beyond the knowledge limits is tested for safe failure.
Maintained by Gerard Blokdyk·Verified against the published standard ·Control text last updated
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