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NIST AI Risk Management Framework

A voluntary framework providing a structured approach to identify, assess, and manage risks throughout the AI system lifecycle.

Full definition
The NIST AI RMF, published in January 2023, offers organizations a flexible, structured methodology for managing risks unique to artificial intelligence systems. The framework is built around four core functions: Govern, Map, Measure, and Manage, addressing trustworthiness characteristics like validity, reliability, safety, security, and fairness. It emphasizes socio-technical approaches that consider both technical and human factors. For instance, a healthcare organization deploying an AI diagnostic tool would use this framework to map potential patient safety risks, measure algorithmic fairness across demographic groups, and establish ongoing monitoring protocols.
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