Law / Frameworks / NIST AI RMF / Govern
NIST AI RMF, GovernGOVERN 2.1
Roles and responsibilities and lines of communication related to mapping, measuring, and managing AI risks are documented and are clear to individuals and teams throughout the organization.NIST AI Risk Management Framework, version 1.0, January 2023 (NIST AI 100-1), GOVERN 2.1
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 .
- 9
- laws
- 7
- jurisdictions
- 0
- with court rulings behind them
- 0
- not yet in force
Related controls in other frameworks the same duties, in at least two laws we track, reach both
- NIST AI 600-1GAI-RISK-07 Human-AI Configuration, 7 laws
- NIST AI 200-22.3 Apply & Measure, 7 laws
- NIST AI 200-24.3 Composing a TEVV Toolbox, 7 laws
- OWASP LLM Top 10LLM03:2026 Excessive Agency, 7 laws
- OWASP Agentic Top 10ASI09 Human-Agent Trust Exploitation, 7 laws
- MIT mitigations1.1 Board Structure & Oversight, 7 laws
- MIT mitigations1.2 Risk Management, 7 laws
- MIT mitigations3.5 Post-deployment Monitoring, 7 laws
- 1 more in the MIT mitigations
- FINOS AIGFAIR-PREV-005 System Acceptance Testing, 7 laws
- FINOS AIGFAIR-PREV-006 Data Quality & Classification/Sensitivity, 7 laws
- FINOS AIGFAIR-PREV-024 Human-in-the-Loop Action Approval Gate, 7 laws
- 3 more in the FINOS AIGF
- ETSI EN 304 2235.1.4-1 Capability for human oversight designed in and maintained., 7 laws
- ETSI EN 304 2235.2.1-1 Full inventory of assets, including their dependencies and connections., 7 laws
- ETSI EN 304 2235.2.4-1 Developers keep an audit trail of system design and post-deployment..., 7 laws
- 1 more in the ETSI EN 304 223
AI sector rules
7 laws, 6 jurisdictions| Jurisdiction | Law | What it asks, as read here |
|---|---|---|
| OSFI Guideline E-23, Enterprise-Wide Model Risk Management for Deposit-Taking Institutions (2017) |
Senior management should develop and operationalize enterprise-wide model risk management policies, and each model in use should have an owner who is clearly assigned and who keeps thorough documentation at each stage of the model's life cycle. |
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| MiFID II Algorithmic Trading Controls: Resilient Systems, Testing, Kill Functionality, Records and Notification (Article 17 and RTS 6) |
Establish and monitor your trading systems and trading algorithms through a clear and formalized governance arrangement that sets out clear lines of accountability, including procedures to approve the development, deployment and subsequent updates of trading algorithms and to solve problems identified when monitoring them, effective procedures for the communication of information within the firm, and a separation of tasks and responsibilities of trading desks on the one hand and supporting functions, including risk control and compliance, on the other (Delegated Regulation (EU) 2017/589, Article 1). |
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| MiFID II Suitability Assessment for Investment Advice and Portfolio Management, Including Automated and Semi-Automated Systems (Article 25(2) and Delegated Regulation 2017/565 Article 54) |
Where you provide investment advice or portfolio management services in whole or in part through an automated or semi-automated system, keep the responsibility to undertake the suitability assessment with yourself as the investment firm providing the service; the use of an electronic system in making the personal recommendation or decision to trade does not reduce it (Delegated Regulation (EU) 2017/565, Article 54(1)). |
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| Central Bank of Jordan Artificial Intelligence Framework for the Banking Sector, Version 1.0 |
The CBJ expects you to establish an AI oversight committee or clearly delegate AI governance responsibilities to an existing governance body, to have the use of AI in decision-making approved by an appropriate internal authority, to stay accountable for internally developed and externally sourced AI-driven decisions, and to designate an AI System Owner for each AI system (sections 1.1 and 2.4). |
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| FSC Fintech Series Guidance Notes 4, responsible use of artificial intelligence in financial services |
The Commission advises you to include human oversight in critical decision-making processes and to define clearly who is responsible for an AI system across its entire life cycle, without changing the supervisory expectations that already apply to your governance. The Commission advises you to establish procedures for monitoring AI systems and clear accountability for AI-related errors or malfunctions, and to run ongoing monitoring and evaluation of the ethical and societal impact of your AI systems. |
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| Suitability for MiFID business: personal recommendations and decisions to trade, including advice given through an automated or semi-automated system |
If you provide investment advice or portfolio management services in whole or in part through an automated or semi-automated system, remain responsible for the suitability assessment required by COBS 9A.2; that obligation is not affected by the use of an electronic system in making the personal recommendation or decision to trade (COBS 9A.2.23R). |
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| Interagency Supervisory Guidance on Model Risk Management (2026 revision) |
Set clear policies and roles and responsibilities for model development, validation and monitoring, including how conflicts of interest are handled. Where internal audit is part of the practice, its role is generally to evaluate whether model risk management practices are rigorous and effective rather than to duplicate development or validation. |
AI governance
1 law, 1 jurisdiction| Jurisdiction | Law | What it asks, as read here |
|---|---|---|
| Frontier Developer Catastrophic-Risk Whistleblower Protections |
Share each report and update with your officers and directors at least quarterly, withholding it from any officer or director the report accuses of wrongdoing. |
Personal data
1 law, 1 jurisdiction| Jurisdiction | Law | What it asks, as read here |
|---|---|---|
| Personal Information Protection and Electronic Documents Act (PIPEDA), scraped personal data |
Apply PIPEDA's purpose-limitation and accountability obligations to personal information collected by crawling, the same as personal information collected any other way. |
Full text of the NIST AI Risk Management Framework, public domain (a US government work). Every control of the framework.