Law / Frameworks / Crosswalk / FINOS AIGF to NIST AI RMF

The FINOS AI Governance Framework, mapped to the NIST AI Risk Management Framework

16 of FINOS AIGF's controls connect to 28 of NIST AI RMF's through 489 laws in 176 jurisdictions. Two controls connect when the same duties, in at least 2 laws we track, reach both. The connections are our own reading of the law; no framework publisher has reviewed or endorsed them.

From
FINOS AI Governance Framework, version 2, as maintained on , FINOS
To
NIST AI Risk Management Framework, version 1.0, January 2023 (NIST AI 100-1), National Institute of Standards and Technology
See also
NIST AI RMF to FINOS AIGF, the other way · every pair in the crosswalk · law library as of

Download this mapping, with every law behind each connection: nist-ai-rmf--finos-ai-governance-framework.csv · nist-ai-rmf--finos-ai-governance-framework.json

FINOS AIGFNIST AI RMFLawsJurisdictionsWhere the laws stand
AIR-PREV-005System Acceptance Testing MAP 3.3Targeted application scope is specified and documented based on the system’s... 148 88 127 in force, 17 not yet in force, 1 blocked by a court, 3 proposed
The 148 laws behind AIR-PREV-005 and MAP 3.3

and 138 more, every one in the free file.

GOVERN 1.1Legal and regulatory requirements involving AI are understood, managed, and documented. 38 20 28 in force, 9 not yet in force, 1 proposed
The 38 laws behind AIR-PREV-005 and GOVERN 1.1

and 28 more, every one in the free file.

MAP 3.5Processes for human oversight are defined, assessed, and documented in accordance with... 26 19 18 in force, 8 not yet in force
The 26 laws behind AIR-PREV-005 and MAP 3.5

and 16 more, every one in the free file.

MEASURE 2.4The functionality and behavior of the AI system and its components – as identified in... 23 12 13 in force, 10 not yet in force
The 23 laws behind AIR-PREV-005 and MEASURE 2.4

and 13 more, every one in the free file.

GOVERN 1.4The risk management process and its outcomes are established through transparent... 17 12 11 in force, 6 not yet in force
The 17 laws behind AIR-PREV-005 and GOVERN 1.4

and 7 more, every one in the free file.

MAP 5.1Likelihood and magnitude of each identified impact (both potentially beneficial and... 14 13 8 in force, 1 not yet in force, 5 proposed
The 14 laws behind AIR-PREV-005 and MAP 5.1

and 4 more, every one in the free file.

MAP 2.3Scientific integrity and TEVV considerations are identified and documented, including... 12 9 8 in force, 4 not yet in force
The 12 laws behind AIR-PREV-005 and MAP 2.3

and 2 more, every one in the free file.

MANAGE 1.3Responses to the AI risks deemed high priority, as identified by the MAP function, are... 8 8 2 in force, 1 not yet in force, 5 proposed
The 8 laws behind AIR-PREV-005 and MANAGE 1.3
GOVERN 1.6Mechanisms are in place to inventory AI systems and are resourced according to... 7 6 6 in force, 1 not yet in force
The 7 laws behind AIR-PREV-005 and GOVERN 1.6
GOVERN 2.1Roles and responsibilities and lines of communication related to mapping, measuring,... 7 6 7 in force
The 7 laws behind AIR-PREV-005 and GOVERN 2.1
MEASURE 2.10Privacy risk of the AI system – as identified in the MAP function – is examined and documented. 6 6 4 in force, 2 not yet in force
The 6 laws behind AIR-PREV-005 and MEASURE 2.10
MEASURE 2.11Fairness and bias – as identified in the MAP function – are evaluated and results are... 6 5 4 in force, 2 not yet in force
The 6 laws behind AIR-PREV-005 and MEASURE 2.11
MEASURE 2.9The AI model is explained, validated, and documented, and AI system output is... 5 5 5 in force
The 5 laws behind AIR-PREV-005 and MEASURE 2.9
GOVERN 2.3Executive leadership of the organization takes responsibility for decisions about... 4 4 4 in force
The 4 laws behind AIR-PREV-005 and GOVERN 2.3
MANAGE 2.4Mechanisms are in place and applied, and responsibilities are assigned and understood,... 4 3 4 in force
The 4 laws behind AIR-PREV-005 and MANAGE 2.4
MAP 4.1Approaches for mapping AI technology and legal risks of its components – including the... 3 3 2 in force, 1 not yet in force
The 3 laws behind AIR-PREV-005 and MAP 4.1
GOVERN 4.2Organizational teams document the risks and potential impacts of the AI technology... 2 2 2 in force
The 2 laws behind AIR-PREV-005 and GOVERN 4.2
MEASURE 2.7AI system security and resilience – as identified in the MAP function – are evaluated... 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-PREV-005 and MEASURE 2.7
MEASURE 2.8Risks associated with transparency and accountability – as identified in the MAP... 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-PREV-005 and MEASURE 2.8
MEASURE 3.3Feedback processes for end users and impacted communities to report problems and... 2 2 2 in force
The 2 laws behind AIR-PREV-005 and MEASURE 3.3
AIR-PREV-006Data Quality & Classification/Sensitivity GOVERN 1.1Legal and regulatory requirements involving AI are understood, managed, and documented. 38 20 28 in force, 9 not yet in force, 1 proposed
The 38 laws behind AIR-PREV-006 and GOVERN 1.1

and 28 more, every one in the free file.

MAP 3.5Processes for human oversight are defined, assessed, and documented in accordance with... 28 21 20 in force, 8 not yet in force
The 28 laws behind AIR-PREV-006 and MAP 3.5

and 18 more, every one in the free file.

MEASURE 2.4The functionality and behavior of the AI system and its components – as identified in... 23 12 13 in force, 10 not yet in force
The 23 laws behind AIR-PREV-006 and MEASURE 2.4

and 13 more, every one in the free file.

GOVERN 1.4The risk management process and its outcomes are established through transparent... 17 12 11 in force, 6 not yet in force
The 17 laws behind AIR-PREV-006 and GOVERN 1.4

and 7 more, every one in the free file.

MEASURE 3.3Feedback processes for end users and impacted communities to report problems and... 12 12 8 in force, 3 not yet in force, 1 proposed
The 12 laws behind AIR-PREV-006 and MEASURE 3.3

and 2 more, every one in the free file.

MAP 2.3Scientific integrity and TEVV considerations are identified and documented, including... 12 9 8 in force, 4 not yet in force
The 12 laws behind AIR-PREV-006 and MAP 2.3

and 2 more, every one in the free file.

MEASURE 2.9The AI model is explained, validated, and documented, and AI system output is... 11 11 7 in force, 4 not yet in force
The 11 laws behind AIR-PREV-006 and MEASURE 2.9

and 1 more, every one in the free file.

GOVERN 1.6Mechanisms are in place to inventory AI systems and are resourced according to... 7 6 6 in force, 1 not yet in force
The 7 laws behind AIR-PREV-006 and GOVERN 1.6
GOVERN 2.1Roles and responsibilities and lines of communication related to mapping, measuring,... 7 6 7 in force
The 7 laws behind AIR-PREV-006 and GOVERN 2.1
MEASURE 2.11Fairness and bias – as identified in the MAP function – are evaluated and results are... 6 5 4 in force, 2 not yet in force
The 6 laws behind AIR-PREV-006 and MEASURE 2.11
GOVERN 2.3Executive leadership of the organization takes responsibility for decisions about... 4 4 4 in force
The 4 laws behind AIR-PREV-006 and GOVERN 2.3
MAP 3.3Targeted application scope is specified and documented based on the system’s... 4 3 3 in force, 1 not yet in force
The 4 laws behind AIR-PREV-006 and MAP 3.3
MANAGE 2.4Mechanisms are in place and applied, and responsibilities are assigned and understood,... 4 3 4 in force
The 4 laws behind AIR-PREV-006 and MANAGE 2.4
MAP 5.1Likelihood and magnitude of each identified impact (both potentially beneficial and... 3 3 3 in force
The 3 laws behind AIR-PREV-006 and MAP 5.1
MAP 4.1Approaches for mapping AI technology and legal risks of its components – including the... 2 2 2 in force
The 2 laws behind AIR-PREV-006 and MAP 4.1
MEASURE 2.7AI system security and resilience – as identified in the MAP function – are evaluated... 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-PREV-006 and MEASURE 2.7
MEASURE 2.8Risks associated with transparency and accountability – as identified in the MAP... 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-PREV-006 and MEASURE 2.8
MEASURE 2.10Privacy risk of the AI system – as identified in the MAP function – is examined and documented. 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-PREV-006 and MEASURE 2.10
MANAGE 4.1Post-deployment AI system monitoring plans are implemented, including mechanisms for... 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-PREV-006 and MANAGE 4.1
AIR-PREV-007Legal and Contractual Frameworks for AI Systems MAP 4.1Approaches for mapping AI technology and legal risks of its components – including the... 51 39 50 in force, 1 not yet in force
The 51 laws behind AIR-PREV-007 and MAP 4.1

and 41 more, every one in the free file.

MEASURE 2.6The AI system is evaluated regularly for safety risks – as identified in the MAP... 3 2 2 in force, 1 not yet in force
The 3 laws behind AIR-PREV-007 and MEASURE 2.6
MEASURE 2.7AI system security and resilience – as identified in the MAP function – are evaluated... 3 2 2 in force, 1 not yet in force
The 3 laws behind AIR-PREV-007 and MEASURE 2.7
GOVERN 6.1Policies and procedures are in place that address AI risks associated with third-party... 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-PREV-007 and GOVERN 6.1
MEASURE 2.5The AI system to be deployed is demonstrated to be valid and reliable. Limitations of... 2 1 1 in force, 1 not yet in force
The 2 laws behind AIR-PREV-007 and MEASURE 2.5
AIR-PREV-008Quality of Service (QoS) and DDoS Prevention for AI Systems MEASURE 2.6The AI system is evaluated regularly for safety risks – as identified in the MAP... 3 2 2 in force, 1 not yet in force
The 3 laws behind AIR-PREV-008 and MEASURE 2.6
MEASURE 2.7AI system security and resilience – as identified in the MAP function – are evaluated... 3 2 2 in force, 1 not yet in force
The 3 laws behind AIR-PREV-008 and MEASURE 2.7
MEASURE 2.5The AI system to be deployed is demonstrated to be valid and reliable. Limitations of... 2 1 1 in force, 1 not yet in force
The 2 laws behind AIR-PREV-008 and MEASURE 2.5
AIR-PREV-012Role-Based Access Control for AI Data MEASURE 2.6The AI system is evaluated regularly for safety risks – as identified in the MAP... 3 2 2 in force, 1 not yet in force
The 3 laws behind AIR-PREV-012 and MEASURE 2.6
MEASURE 2.7AI system security and resilience – as identified in the MAP function – are evaluated... 3 2 2 in force, 1 not yet in force
The 3 laws behind AIR-PREV-012 and MEASURE 2.7
MEASURE 2.5The AI system to be deployed is demonstrated to be valid and reliable. Limitations of... 2 1 1 in force, 1 not yet in force
The 2 laws behind AIR-PREV-012 and MEASURE 2.5
AIR-PREV-014Encryption of AI Data at Rest MEASURE 2.6The AI system is evaluated regularly for safety risks – as identified in the MAP... 3 2 2 in force, 1 not yet in force
The 3 laws behind AIR-PREV-014 and MEASURE 2.6
MEASURE 2.7AI system security and resilience – as identified in the MAP function – are evaluated... 3 2 2 in force, 1 not yet in force
The 3 laws behind AIR-PREV-014 and MEASURE 2.7
MEASURE 2.5The AI system to be deployed is demonstrated to be valid and reliable. Limitations of... 2 1 1 in force, 1 not yet in force
The 2 laws behind AIR-PREV-014 and MEASURE 2.5
AIR-PREV-017AI Firewall Implementation and Management MEASURE 2.6The AI system is evaluated regularly for safety risks – as identified in the MAP... 3 2 2 in force, 1 not yet in force
The 3 laws behind AIR-PREV-017 and MEASURE 2.6
MEASURE 2.7AI system security and resilience – as identified in the MAP function – are evaluated... 3 2 2 in force, 1 not yet in force
The 3 laws behind AIR-PREV-017 and MEASURE 2.7
MEASURE 2.5The AI system to be deployed is demonstrated to be valid and reliable. Limitations of... 2 1 1 in force, 1 not yet in force
The 2 laws behind AIR-PREV-017 and MEASURE 2.5
AIR-PREV-018Agent Authority Least Privilege Framework MAP 4.1Approaches for mapping AI technology and legal risks of its components – including the... 145 107 142 in force, 3 not yet in force
The 145 laws behind AIR-PREV-018 and MAP 4.1

and 135 more, every one in the free file.

AIR-PREV-020MCP Server Security Governance MEASURE 2.6The AI system is evaluated regularly for safety risks – as identified in the MAP... 3 2 2 in force, 1 not yet in force
The 3 laws behind AIR-PREV-020 and MEASURE 2.6
MEASURE 2.7AI system security and resilience – as identified in the MAP function – are evaluated... 3 2 2 in force, 1 not yet in force
The 3 laws behind AIR-PREV-020 and MEASURE 2.7
MEASURE 2.5The AI system to be deployed is demonstrated to be valid and reliable. Limitations of... 2 1 1 in force, 1 not yet in force
The 2 laws behind AIR-PREV-020 and MEASURE 2.5
AIR-PREV-023Agentic System Credential Protection Framework MAP 4.1Approaches for mapping AI technology and legal risks of its components – including the... 145 107 142 in force, 3 not yet in force
The 145 laws behind AIR-PREV-023 and MAP 4.1

and 135 more, every one in the free file.

AIR-PREV-024Human-in-the-Loop Action Approval Gate GOVERN 1.1Legal and regulatory requirements involving AI are understood, managed, and documented. 38 20 28 in force, 9 not yet in force, 1 proposed
The 38 laws behind AIR-PREV-024 and GOVERN 1.1

and 28 more, every one in the free file.

MAP 3.5Processes for human oversight are defined, assessed, and documented in accordance with... 25 18 17 in force, 8 not yet in force
The 25 laws behind AIR-PREV-024 and MAP 3.5

and 15 more, every one in the free file.

MEASURE 2.4The functionality and behavior of the AI system and its components – as identified in... 23 12 13 in force, 10 not yet in force
The 23 laws behind AIR-PREV-024 and MEASURE 2.4

and 13 more, every one in the free file.

GOVERN 1.4The risk management process and its outcomes are established through transparent... 17 12 11 in force, 6 not yet in force
The 17 laws behind AIR-PREV-024 and GOVERN 1.4

and 7 more, every one in the free file.

MAP 2.3Scientific integrity and TEVV considerations are identified and documented, including... 12 9 8 in force, 4 not yet in force
The 12 laws behind AIR-PREV-024 and MAP 2.3

and 2 more, every one in the free file.

GOVERN 1.6Mechanisms are in place to inventory AI systems and are resourced according to... 7 6 6 in force, 1 not yet in force
The 7 laws behind AIR-PREV-024 and GOVERN 1.6
GOVERN 2.1Roles and responsibilities and lines of communication related to mapping, measuring,... 7 6 7 in force
The 7 laws behind AIR-PREV-024 and GOVERN 2.1
MEASURE 2.11Fairness and bias – as identified in the MAP function – are evaluated and results are... 6 5 4 in force, 2 not yet in force
The 6 laws behind AIR-PREV-024 and MEASURE 2.11
GOVERN 2.3Executive leadership of the organization takes responsibility for decisions about... 4 4 4 in force
The 4 laws behind AIR-PREV-024 and GOVERN 2.3
MEASURE 2.9The AI model is explained, validated, and documented, and AI system output is... 4 4 4 in force
The 4 laws behind AIR-PREV-024 and MEASURE 2.9
MANAGE 2.4Mechanisms are in place and applied, and responsibilities are assigned and understood,... 4 3 4 in force
The 4 laws behind AIR-PREV-024 and MANAGE 2.4
MAP 5.1Likelihood and magnitude of each identified impact (both potentially beneficial and... 3 3 3 in force
The 3 laws behind AIR-PREV-024 and MAP 5.1
MAP 3.3Targeted application scope is specified and documented based on the system’s... 3 2 3 in force
The 3 laws behind AIR-PREV-024 and MAP 3.3
MAP 4.1Approaches for mapping AI technology and legal risks of its components – including the... 2 2 2 in force
The 2 laws behind AIR-PREV-024 and MAP 4.1
MEASURE 2.7AI system security and resilience – as identified in the MAP function – are evaluated... 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-PREV-024 and MEASURE 2.7
MEASURE 3.3Feedback processes for end users and impacted communities to report problems and... 2 2 2 in force
The 2 laws behind AIR-PREV-024 and MEASURE 3.3
AIR-DET-001AI Data Leakage Prevention and Detection MEASURE 2.6The AI system is evaluated regularly for safety risks – as identified in the MAP... 3 2 2 in force, 1 not yet in force
The 3 laws behind AIR-DET-001 and MEASURE 2.6
MEASURE 2.7AI system security and resilience – as identified in the MAP function – are evaluated... 3 2 2 in force, 1 not yet in force
The 3 laws behind AIR-DET-001 and MEASURE 2.7
MEASURE 2.5The AI system to be deployed is demonstrated to be valid and reliable. Limitations of... 2 1 1 in force, 1 not yet in force
The 2 laws behind AIR-DET-001 and MEASURE 2.5
AIR-DET-004AI System Observability GOVERN 1.1Legal and regulatory requirements involving AI are understood, managed, and documented. 41 22 31 in force, 9 not yet in force, 1 proposed
The 41 laws behind AIR-DET-004 and GOVERN 1.1

and 31 more, every one in the free file.

MAP 3.5Processes for human oversight are defined, assessed, and documented in accordance with... 25 18 17 in force, 8 not yet in force
The 25 laws behind AIR-DET-004 and MAP 3.5

and 15 more, every one in the free file.

MEASURE 2.4The functionality and behavior of the AI system and its components – as identified in... 23 12 13 in force, 10 not yet in force
The 23 laws behind AIR-DET-004 and MEASURE 2.4

and 13 more, every one in the free file.

GOVERN 1.4The risk management process and its outcomes are established through transparent... 17 12 11 in force, 6 not yet in force
The 17 laws behind AIR-DET-004 and GOVERN 1.4

and 7 more, every one in the free file.

MAP 2.3Scientific integrity and TEVV considerations are identified and documented, including... 12 9 8 in force, 4 not yet in force
The 12 laws behind AIR-DET-004 and MAP 2.3

and 2 more, every one in the free file.

MANAGE 4.3Incidents and errors are communicated to relevant AI actors, including affected... 9 7 5 in force, 3 not yet in force, 1 proposed
The 9 laws behind AIR-DET-004 and MANAGE 4.3
GOVERN 4.2Organizational teams document the risks and potential impacts of the AI technology... 8 6 5 in force, 3 not yet in force
The 8 laws behind AIR-DET-004 and GOVERN 4.2
GOVERN 1.6Mechanisms are in place to inventory AI systems and are resourced according to... 7 6 6 in force, 1 not yet in force
The 7 laws behind AIR-DET-004 and GOVERN 1.6
GOVERN 2.1Roles and responsibilities and lines of communication related to mapping, measuring,... 7 6 7 in force
The 7 laws behind AIR-DET-004 and GOVERN 2.1
MANAGE 4.1Post-deployment AI system monitoring plans are implemented, including mechanisms for... 7 6 6 in force, 1 not yet in force
The 7 laws behind AIR-DET-004 and MANAGE 4.1
MEASURE 2.11Fairness and bias – as identified in the MAP function – are evaluated and results are... 6 5 4 in force, 2 not yet in force
The 6 laws behind AIR-DET-004 and MEASURE 2.11
MANAGE 2.4Mechanisms are in place and applied, and responsibilities are assigned and understood,... 5 4 4 in force, 1 not yet in force
The 5 laws behind AIR-DET-004 and MANAGE 2.4
GOVERN 2.3Executive leadership of the organization takes responsibility for decisions about... 4 4 4 in force
The 4 laws behind AIR-DET-004 and GOVERN 2.3
MEASURE 2.9The AI model is explained, validated, and documented, and AI system output is... 4 4 4 in force
The 4 laws behind AIR-DET-004 and MEASURE 2.9
MAP 5.1Likelihood and magnitude of each identified impact (both potentially beneficial and... 3 3 3 in force
The 3 laws behind AIR-DET-004 and MAP 5.1
MEASURE 3.3Feedback processes for end users and impacted communities to report problems and... 3 3 3 in force
The 3 laws behind AIR-DET-004 and MEASURE 3.3
MAP 3.3Targeted application scope is specified and documented based on the system’s... 3 2 3 in force
The 3 laws behind AIR-DET-004 and MAP 3.3
GOVERN 4.3Organizational practices are in place to enable AI testing, identification of... 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-DET-004 and GOVERN 4.3
MAP 4.1Approaches for mapping AI technology and legal risks of its components – including the... 2 2 2 in force
The 2 laws behind AIR-DET-004 and MAP 4.1
MEASURE 2.6The AI system is evaluated regularly for safety risks – as identified in the MAP... 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-DET-004 and MEASURE 2.6
MEASURE 2.7AI system security and resilience – as identified in the MAP function – are evaluated... 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-DET-004 and MEASURE 2.7
AIR-DET-011Human Feedback Loop for AI Systems GOVERN 1.1Legal and regulatory requirements involving AI are understood, managed, and documented. 38 20 28 in force, 9 not yet in force, 1 proposed
The 38 laws behind AIR-DET-011 and GOVERN 1.1

and 28 more, every one in the free file.

MAP 3.5Processes for human oversight are defined, assessed, and documented in accordance with... 25 18 17 in force, 8 not yet in force
The 25 laws behind AIR-DET-011 and MAP 3.5

and 15 more, every one in the free file.

MEASURE 2.4The functionality and behavior of the AI system and its components – as identified in... 23 12 13 in force, 10 not yet in force
The 23 laws behind AIR-DET-011 and MEASURE 2.4

and 13 more, every one in the free file.

GOVERN 1.4The risk management process and its outcomes are established through transparent... 17 12 11 in force, 6 not yet in force
The 17 laws behind AIR-DET-011 and GOVERN 1.4

and 7 more, every one in the free file.

MAP 2.3Scientific integrity and TEVV considerations are identified and documented, including... 12 9 8 in force, 4 not yet in force
The 12 laws behind AIR-DET-011 and MAP 2.3

and 2 more, every one in the free file.

GOVERN 1.6Mechanisms are in place to inventory AI systems and are resourced according to... 7 6 6 in force, 1 not yet in force
The 7 laws behind AIR-DET-011 and GOVERN 1.6
GOVERN 2.1Roles and responsibilities and lines of communication related to mapping, measuring,... 7 6 7 in force
The 7 laws behind AIR-DET-011 and GOVERN 2.1
MEASURE 2.11Fairness and bias – as identified in the MAP function – are evaluated and results are... 6 5 4 in force, 2 not yet in force
The 6 laws behind AIR-DET-011 and MEASURE 2.11
GOVERN 2.3Executive leadership of the organization takes responsibility for decisions about... 4 4 4 in force
The 4 laws behind AIR-DET-011 and GOVERN 2.3
MEASURE 2.9The AI model is explained, validated, and documented, and AI system output is... 4 4 4 in force
The 4 laws behind AIR-DET-011 and MEASURE 2.9
MANAGE 2.4Mechanisms are in place and applied, and responsibilities are assigned and understood,... 4 3 4 in force
The 4 laws behind AIR-DET-011 and MANAGE 2.4
MAP 5.1Likelihood and magnitude of each identified impact (both potentially beneficial and... 3 3 3 in force
The 3 laws behind AIR-DET-011 and MAP 5.1
MAP 3.3Targeted application scope is specified and documented based on the system’s... 3 2 3 in force
The 3 laws behind AIR-DET-011 and MAP 3.3
MAP 4.1Approaches for mapping AI technology and legal risks of its components – including the... 2 2 2 in force
The 2 laws behind AIR-DET-011 and MAP 4.1
MEASURE 2.7AI system security and resilience – as identified in the MAP function – are evaluated... 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-DET-011 and MEASURE 2.7
MEASURE 3.3Feedback processes for end users and impacted communities to report problems and... 2 2 2 in force
The 2 laws behind AIR-DET-011 and MEASURE 3.3
AIR-DET-013Providing Citations and Source Traceability for AI-Generated Information MAP 4.1Approaches for mapping AI technology and legal risks of its components – including the... 33 28 33 in force
The 33 laws behind AIR-DET-013 and MAP 4.1

and 23 more, every one in the free file.

AIR-DET-021Agent Decision Audit and Explainability MEASURE 2.8Risks associated with transparency and accountability – as identified in the MAP... 66 43 41 in force, 13 not yet in force, 12 proposed
The 66 laws behind AIR-DET-021 and MEASURE 2.8

and 56 more, every one in the free file.

GOVERN 1.1Legal and regulatory requirements involving AI are understood, managed, and documented. 41 22 31 in force, 9 not yet in force, 1 proposed
The 41 laws behind AIR-DET-021 and GOVERN 1.1

and 31 more, every one in the free file.

MAP 3.5Processes for human oversight are defined, assessed, and documented in accordance with... 29 22 21 in force, 8 not yet in force
The 29 laws behind AIR-DET-021 and MAP 3.5

and 19 more, every one in the free file.

MEASURE 2.4The functionality and behavior of the AI system and its components – as identified in... 23 12 13 in force, 10 not yet in force
The 23 laws behind AIR-DET-021 and MEASURE 2.4

and 13 more, every one in the free file.

MEASURE 3.3Feedback processes for end users and impacted communities to report problems and... 21 21 10 in force, 4 not yet in force, 7 proposed
The 21 laws behind AIR-DET-021 and MEASURE 3.3

and 11 more, every one in the free file.

MEASURE 2.9The AI model is explained, validated, and documented, and AI system output is... 17 14 10 in force, 6 not yet in force, 1 proposed
The 17 laws behind AIR-DET-021 and MEASURE 2.9

and 7 more, every one in the free file.

GOVERN 1.4The risk management process and its outcomes are established through transparent... 17 12 11 in force, 6 not yet in force
The 17 laws behind AIR-DET-021 and GOVERN 1.4

and 7 more, every one in the free file.

MAP 2.3Scientific integrity and TEVV considerations are identified and documented, including... 12 9 8 in force, 4 not yet in force
The 12 laws behind AIR-DET-021 and MAP 2.3

and 2 more, every one in the free file.

GOVERN 4.2Organizational teams document the risks and potential impacts of the AI technology... 10 7 6 in force, 3 not yet in force, 1 proposed
The 10 laws behind AIR-DET-021 and GOVERN 4.2
MANAGE 4.3Incidents and errors are communicated to relevant AI actors, including affected... 8 6 4 in force, 3 not yet in force, 1 proposed
The 8 laws behind AIR-DET-021 and MANAGE 4.3
GOVERN 1.6Mechanisms are in place to inventory AI systems and are resourced according to... 7 6 6 in force, 1 not yet in force
The 7 laws behind AIR-DET-021 and GOVERN 1.6
GOVERN 2.1Roles and responsibilities and lines of communication related to mapping, measuring,... 7 6 7 in force
The 7 laws behind AIR-DET-021 and GOVERN 2.1
MANAGE 4.1Post-deployment AI system monitoring plans are implemented, including mechanisms for... 7 6 6 in force, 1 not yet in force
The 7 laws behind AIR-DET-021 and MANAGE 4.1
MEASURE 2.11Fairness and bias – as identified in the MAP function – are evaluated and results are... 6 5 4 in force, 2 not yet in force
The 6 laws behind AIR-DET-021 and MEASURE 2.11
MANAGE 2.4Mechanisms are in place and applied, and responsibilities are assigned and understood,... 6 5 5 in force, 1 not yet in force
The 6 laws behind AIR-DET-021 and MANAGE 2.4
MAP 2.2Information about the AI system’s knowledge limits and how system output may be... 5 4 1 in force, 4 not yet in force
The 5 laws behind AIR-DET-021 and MAP 2.2
MAP 3.3Targeted application scope is specified and documented based on the system’s... 5 4 4 in force, 1 not yet in force
The 5 laws behind AIR-DET-021 and MAP 3.3
GOVERN 2.3Executive leadership of the organization takes responsibility for decisions about... 4 4 4 in force
The 4 laws behind AIR-DET-021 and GOVERN 2.3
MAP 1.6System requirements (e.g., “the system shall respect the privacy of its users”) are... 4 4 3 in force, 1 not yet in force
The 4 laws behind AIR-DET-021 and MAP 1.6
MAP 5.1Likelihood and magnitude of each identified impact (both potentially beneficial and... 3 3 3 in force
The 3 laws behind AIR-DET-021 and MAP 5.1
MEASURE 2.6The AI system is evaluated regularly for safety risks – as identified in the MAP... 3 3 1 in force, 1 not yet in force, 1 proposed
The 3 laws behind AIR-DET-021 and MEASURE 2.6
GOVERN 4.3Organizational practices are in place to enable AI testing, identification of... 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-DET-021 and GOVERN 4.3
MAP 4.1Approaches for mapping AI technology and legal risks of its components – including the... 2 2 2 in force
The 2 laws behind AIR-DET-021 and MAP 4.1
MEASURE 2.5The AI system to be deployed is demonstrated to be valid and reliable. Limitations of... 2 2 2 in force
The 2 laws behind AIR-DET-021 and MEASURE 2.5
MEASURE 2.7AI system security and resilience – as identified in the MAP function – are evaluated... 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-DET-021 and MEASURE 2.7
MEASURE 2.10Privacy risk of the AI system – as identified in the MAP function – is examined and documented. 2 2 1 in force, 1 not yet in force
The 2 laws behind AIR-DET-021 and MEASURE 2.10
Not connected to the NIST AI RMF: 9 of FINOS AIGF's controls

No law we track reaches these

No duty in the laws we track reaches these controls.

Lines of the communications, age assurance and cybersecurity laws we track were not read against the NIST AI RMF, so none of them connects the two here (how each subject's lines were read).

How these connections are drawn

Each requirement line in the laws we track is read against the framework for its subject (the AI, scraping and news aggregation laws against the NIST AI RMF, the privacy, communications and age assurance laws against the NIST Privacy Framework, the cybersecurity laws against the NIST CSF 2.0); laws on liability and content moderation are not read against any framework yet. A line reaches the FINOS AIGF through a kind of duty its law carries, and only where that kind of duty also reaches, on that same line, the NIST framework for the line's own subject. Two controls connect when lines in at least 2 laws reach both. That says the same duties reach both; it does not say the two are alike, or that running either one does what a law asks.

A line placed on a control in the framework for its own subject, whose law carries a kind of duty that reaches another of the three frameworks read line by line, is read against that one as well: every such line, or only those whose wording reaches into it. For these two:

Laws onRead against the NIST AI RMF
privacysuch lines on automated decisions, profiling and AI
communicationsnot read
age assurancenot read
cybersecuritynot read

Every duty line in the AI, scraping, news aggregation and privacy laws we track has been read against the framework for its subject.

Sources and licenses

FINOS AI Governance Framework, copyright 2025 FINOS, licensed under CC BY 4.0. Titles and purpose text are quoted; markdown emphasis and links were removed.