File: 7 October 2026 · Source date: 7 October 2026 · NIST AI RMF
four functions
NIST AI Risk Management Framework; It handles manage, contextualize, measure and manage functions together. The framework is voluntary and does not impose the same ready-made checklist on all sectors. The goal is to make AI risks visible throughout design, development, use and evaluation.
Why isn't one point enough?
While a system may demonstrate high accuracy, it may produce problems in terms of privacy, security, or fairness. Additionally, laboratory measurement may not fully represent behavior in a real-life environment. Therefore, performance, context, and likelihood of harm are evaluated together.
human control
Human consent isn't just about having a button on the screen. The auditor must have sufficient information, time and authority to change the decision. A workflow with unclear accountability can increase the societal risk of a technically good model.
discussion question
How would you prioritize accuracy, explainability, privacy, and fairness when evaluating an AI tool you use? Answer by specifying the area of use.
Resources and further reading
NIST — AI Risk Management Framework ↗Share your answer
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Established science, active research, and philosophical speculation are clearly separated.