NIST AI RMF MEASURE 1
You picked sensible ways to measure the risks you mapped, and you use them.
What NIST says
Appropriate methods and metrics are identified and applied.
Category statement quoted from NIST AI 100-1 (AI RMF 1.0). Function: MEASURE, identified risks are assessed, analyzed, or tracked.
Evidence that shows you're doing it
- Metrics chosen per risk, with thresholds
- Test plans and results
Rate yourself
- Not done
- Ad hoc
- Defined
- Operating
- Measured and improving
The AI Governance Toolkit (Professional, $599) has the NIST AI RMF mapping workbook: maturity scoring, evidence, owners and next steps for every category, plus the ISO/IEC 42001 crosswalk.
Other MEASURE categories
- MEASURE 2: Systems are tested for the qualities that make AI trustworthy: validity, safety, security, privacy, fairness, transparency and explainability.
- MEASURE 3: Risks are tracked over time, including new ones that appear after launch.
- MEASURE 4: You check whether your measurements are working and improve them.