Law / Frameworks / NIST AI RMF / Measure
NIST AI RMF, MeasureMEASURE 2.3
AI system performance or assurance criteria are measured qualitatively or quantitatively and demonstrated for conditions similar to deployment setting(s). Measures are documented.NIST AI Risk Management Framework, version 1.0, January 2023 (NIST AI 100-1), MEASURE 2.3
We read each law below as bearing on this control. That does not mean the control, done well, meets the law: what each law asks is on its own page. Corpus as of .
- 2
- laws
- 1
- place
- 0
- with court rulings behind them
- 2
- not yet in force
A law in force is unmarked; the rest wear their state: not yet in force
AI risk obligations
2 laws, 1 place| Place | Law | What it asks, as read here |
|---|---|---|
 European Union |
AI Act, Article 15 (accuracy, robustness and cybersecurity) from , in 14 months |
Declare the levels of accuracy and the relevant accuracy metrics of your high-risk AI system in its accompanying instructions of use. |
| European Union |
AI Act, Article 9 (risk management system) from , in 14 months |
Test the system to confirm your risk management measures work, that the system performs consistently for its intended purpose, and that it meets the Section 2 requirements; you may use real-world testing under Article 60 for this. Test throughout development and, in any event, before placing the system on the market or putting it into service, against metrics and probabilistic thresholds set in advance. |
Full text of the NIST AI Risk Management Framework, public domain (a US government work). Every control of the framework.