Law / Frameworks / NIST AI RMF / Map
NIST AI RMF, MapMAP 3.4
Processes for operator and practitioner proficiency with AI system performance and trustworthiness – and relevant technical standards and certifications – are defined, assessed, and documented.NIST AI Risk Management Framework, version 1.0, January 2023 (NIST AI 100-1), MAP 3.4
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 .
- 3
- laws
- 2
- jurisdictions
- 0
- with court rulings behind them
- 1
- not yet in force
A law in force is unmarked; the rest wear their state: not yet in force
AI risk obligations
2 laws, 2 jurisdictions| Jurisdiction | Law | What it asks, as read here |
|---|---|---|
 European Union |
AI Act, Article 14 (human oversight) from , in 13 months |
Provide the system so the assigned overseers can remain aware of the tendency to automatically rely or over-rely on its output, in particular where the system informs a decision a person will make. |
 Italy |
Decreto Legislativo 160/2026, Police Use of AI Systems: Human Review, Oversight, Collaborations, Sandbox Basis and Training (Artt. 3-6, 21) |
If you are a police force, ensure that human oversight of a high-risk AI system is effective and meets Article 14 of Regulation (EU) 2024/1689, with staff who have the necessary competence and training (art. 3, comma 5). |
AI sector rules
1 law, 1 jurisdiction| Jurisdiction | Law | What it asks, as read here |
|---|---|---|
| European Union |
MiFID II Algorithmic Trading Controls: Resilient Systems, Testing, Kill Functionality, Records and Notification (Article 17 and RTS 6) |
Ensure that your compliance staff has at least a general understanding of how your algorithmic trading systems and trading algorithms operate and is in continuous contact with the persons within the firm who have detailed technical knowledge of them (Article 2(1)), and employ a sufficient number of staff with the necessary skills to manage those systems and algorithms, with sufficient technical knowledge of the systems and algorithms, their monitoring and testing, the trading strategies you deploy through them and your legal obligations (Article 3(1)). |
Full text of the NIST AI Risk Management Framework, public domain (a US government work). Every control of the framework.