QuestionQ46

AI Life Cycle Risk Management

A risk practitioner evaluates a new AI system and concludes that its risk falls within the organization’s risk tolerance. Which of the following is the BEST recommendation for ensuring that system controls stay effective over time?

Explanation

Continuous monitoring for data and performance drift identifies post-deployment changes that can degrade an AI system’s behavior or invalidate its original assumptions, allowing controls and risk treatments to be reassessed and adjusted. NIST’s AI Risk Management Framework guidance calls for continual monitoring of AI-system performance and regular monitoring for drift.

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