Measure and test trustworthiness characteristics (Measure)
Under NIST AI RMF, MEASURE function
Source-linked
Open official source
What does it require?
Measure covers selecting metrics and test methods, evaluating validity, safety, security, resilience, explainability, privacy, fairness and bias, and monitoring these over time, including through independent review and red-teaming for generative AI.
Practical action
Define a test plan with metrics for each trustworthiness characteristic and record results.
Who does it apply to?
Voluntary; any organisation adopting the framework.
- Actors
- Provider / developer
- Sectors
- Cross-sector / all sectors
Evidence examples
- Evaluation and red-team reports (report)
Framework mappings
Original editorial crosswalks. They cite clause numbers only and reproduce no standard text; confidence reflects how direct the mapping is.
| Framework | Reference | Note | Confidence |
|---|---|---|---|
| ISO/IEC 42001:2023 | Clause 9 Performance evaluation; Annex A verification controls | Original editorial mapping. | medium |
Similar obligations in other instruments
- Large frontier developers must publish a frontier AI framework — California SB 53, California (United States)
- Manage systemic risk for high-impact general-purpose models — EU AI Act, European Union
Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.