AI risk management is the process of identifying, assessing, and controlling risks associated with AI systems throughout their lifecycle. Risks include model errors, biased outputs, data privacy violations, explainability gaps, and security vulnerabilities in AI pipelines. The NIST AI RMF's four functions - Govern, Map, Measure, Manage - provide a structure for implementing AI risk management.
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