Law / Frameworks / NIST AI RMF / Measure
NIST AI RMF, MeasureMEASURE 3.1
Approaches, personnel, and documentation are in place to regularly identify and track existing, unanticipated, and emergent AI risks based on factors such as intended and actual performance in deployed contexts.NIST AI Risk Management Framework, version 1.0, January 2023 (NIST AI 100-1), MEASURE 3.1
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 .
- 2
- laws
- 2
- jurisdictions
- 0
- with court rulings behind them
- 1
- not yet in force
- 1
- proposed, not law
A law in force is unmarked; the rest wear their state: not yet in force proposed
AI transparency
1 law, 1 jurisdiction| Jurisdiction | Law | What it asks, as read here |
|---|---|---|
| New York City | Chatbot Data Privacy, Security, and Transparency proposed |
It would require a chatbot provider to assess its chatbot for risks of harm to users every month, mitigate those risks, and publish information about identified safety risks and their mitigation on its website. |
Data subject rights
1 law, 1 jurisdiction| Jurisdiction | Law | What it asks, as read here |
|---|---|---|
 European Union |
Platform Work Directive, Transparency, Human Oversight and Human Review of Automated Systems (Articles 9 to 11) from , in 6 weeks |
Oversee, and with the involvement of workers' representatives, regularly and in any event every two years, evaluate the impact of individual decisions taken or supported by automated monitoring systems and automated decision-making systems on persons performing platform work, including, where applicable, on their working conditions and equal treatment at work (Article 10(1)). |
Full text of the NIST AI Risk Management Framework, public domain (a US government work). Every control of the framework.