Law / Frameworks / NIST AI RMF / Measure
NIST AI RMF, MeasureMEASURE 1.2
Appropriateness of AI metrics and effectiveness of existing controls are regularly assessed and updated, including reports of errors and potential impacts on affected communities.NIST AI Risk Management Framework, version 1.0, January 2023 (NIST AI 100-1), MEASURE 1.2
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. Law library as of .
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- with court rulings behind them
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- not yet in force
AI sector rules
1 law, 1 jurisdiction| Jurisdiction | Law | What it asks, as read here |
|---|---|---|
 Saudi Arabia |
Counter-Fraud Framework: fraud detection systems, machine learning and artificial intelligence |
Calibrate and test detection scenarios to validate that they are working as designed, implement feedback loops that review false positives, false negatives and alerts which identified fraud, periodically review scenarios and parameters, periodically test the effectiveness of systems through tuning and calibration measures that include model validation, update user behavior patterns and rules for the latest threats, retain a documented record of changes made to configuration or rules and the rationale for the decision, and monitor for unauthorized changes to the system such as rule tampering or disabling of monitoring (Section 5.2(i)). |
Full text of the NIST AI Risk Management Framework, public domain (a US government work). Every control of the framework.