NIST AI RMF KitNIST AI RMF MEASURE 2
Systems are tested for the qualities that make AI trustworthy: validity, safety, security, privacy, fairness, transparency and explainability.
What NIST says
AI systems are evaluated for trustworthy characteristics.
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
- Evaluation reports (accuracy, robustness, bias, security)
- Privacy and security testing 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.