Responsible AI Risk Management using the NIST AI RMF | Why “MEASURE” Matters in Responsible AI

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Artificial Intelligence is reshaping industries-but how do you measure if your AI system is truly responsible, fair, and transparent? Many organizations rush to adopt AI but overlook one critical step: continuous measurement. Without it, even well-intentioned AI models can drift, amplify bias, or lose trustworthiness over time.

This video explains the “MEASURE” function of the NIST AI Risk Management Framework (AI RMF) - one of the most practical global approaches to assessing AI systems. Learn how measurement strengthens accountability, validates ethical AI principles, and ensures that AI outcomes remain reliable and aligned with enterprise risk objectives.

Who Should Watch This?
Risk professionals, compliance officers, data scientists, AI project managers, regulators, students, and executives in BFSI, insurance, and technology sectors.

What You’ll Gain:

Understand the MEASURE function in the NIST AI RMF and its real-world relevance
Learn how to apply metrics and indicators to monitor AI risks effectively
Build transparency, fairness, and accountability into AI governance frameworks

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