An organization adopts the NIST AI RMF MEASURE function. A key activity within MEASURE is quantifying AI risks. Which method BEST supports the quantification of AI trustworthiness characteristics?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because NIST AI RMF MEASURE explicitly calls for quantifying AI risks and trustworthiness characteristics using metrics. The framework identifies trustworthiness properties including accuracy, fairness (bias), explainability, privacy, safety, security, and robustness, each of which can be measured with specific metrics.
Full explanation below image
Full Explanation
B is correct because NIST AI RMF MEASURE explicitly calls for quantifying AI risks and trustworthiness characteristics using metrics. The framework identifies trustworthiness properties including accuracy, fairness (bias), explainability, privacy, safety, security, and robustness, each of which can be measured with specific metrics. Qualitative stakeholder assessments (A) support MAP, not MEASURE. Competitive benchmarking (C) is not a trustworthiness assessment method. Cost calculation (D) is a financial metric, not a trustworthiness metric.