Law / Frameworks / Crosswalk / NIST AI RMF to NIST AI 600-1

The NIST AI Risk Management Framework, mapped to the NIST Generative AI Profile

28 of NIST AI RMF's controls connect to 8 of NIST AI 600-1's through 481 laws in 171 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
NIST AI Risk Management Framework, version 1.0, January 2023 (NIST AI 100-1), National Institute of Standards and Technology
To
NIST Generative AI Profile, July 2024 (NIST AI 600-1), National Institute of Standards and Technology
See also
NIST AI 600-1 to NIST AI RMF, the other way · every pair in the crosswalk · law library as of

Download this mapping, with every law behind each connection: nist-ai-rmf--nist-ai-600-1.csv · nist-ai-rmf--nist-ai-600-1.json

NIST AI RMFNIST AI 600-1LawsJurisdictionsWhere the laws stand
GOVERN 1.1Legal and regulatory requirements involving AI are understood, managed, and documented. GAI-RISK-07Human-AI Configuration 38 20 28 in force, 9 not yet in force, 1 proposed
The 38 laws behind GOVERN 1.1 and GAI-RISK-07

and 28 more, every one in the free file.

GAI-RISK-09Information Security 15 11 12 in force, 2 not yet in force, 1 proposed
The 15 laws behind GOVERN 1.1 and GAI-RISK-09

and 5 more, every one in the free file.

GAI-RISK-10Intellectual Property 4 3 2 in force, 2 not yet in force
The 4 laws behind GOVERN 1.1 and GAI-RISK-10
GOVERN 1.4The risk management process and its outcomes are established through transparent... GAI-RISK-07Human-AI Configuration 17 12 11 in force, 6 not yet in force
The 17 laws behind GOVERN 1.4 and GAI-RISK-07

and 7 more, every one in the free file.

GOVERN 1.6Mechanisms are in place to inventory AI systems and are resourced according to... GAI-RISK-07Human-AI Configuration 7 6 6 in force, 1 not yet in force
The 7 laws behind GOVERN 1.6 and GAI-RISK-07
GOVERN 2.1Roles and responsibilities and lines of communication related to mapping, measuring,... GAI-RISK-07Human-AI Configuration 7 6 7 in force
The 7 laws behind GOVERN 2.1 and GAI-RISK-07
GOVERN 2.3Executive leadership of the organization takes responsibility for decisions about... GAI-RISK-07Human-AI Configuration 4 4 4 in force
The 4 laws behind GOVERN 2.3 and GAI-RISK-07
GOVERN 4.2Organizational teams document the risks and potential impacts of the AI technology... GAI-RISK-07Human-AI Configuration 8 6 4 in force, 3 not yet in force, 1 proposed
The 8 laws behind GOVERN 4.2 and GAI-RISK-07
GAI-RISK-08Information Integrity 8 6 4 in force, 3 not yet in force, 1 proposed
The 8 laws behind GOVERN 4.2 and GAI-RISK-08
GAI-RISK-09Information Security 8 6 5 in force, 3 not yet in force
The 8 laws behind GOVERN 4.2 and GAI-RISK-09
GOVERN 4.3Organizational practices are in place to enable AI testing, identification of... GAI-RISK-09Information Security 2 2 1 in force, 1 not yet in force
The 2 laws behind GOVERN 4.3 and GAI-RISK-09
GOVERN 6.1Policies and procedures are in place that address AI risks associated with third-party... GAI-RISK-12Value Chain and Component Integration 2 2 1 in force, 1 not yet in force
The 2 laws behind GOVERN 6.1 and GAI-RISK-12
MAP 1.6System requirements (e.g., “the system shall respect the privacy of its users”) are... GAI-RISK-11Obscene, Degrading, and/or Abusive Content 10 8 6 in force, 4 not yet in force
The 10 laws behind MAP 1.6 and GAI-RISK-11
GAI-RISK-07Human-AI Configuration 7 7 4 in force, 3 not yet in force
The 7 laws behind MAP 1.6 and GAI-RISK-07
GAI-RISK-04Data Privacy 6 5 5 in force, 1 not yet in force
The 6 laws behind MAP 1.6 and GAI-RISK-04
GAI-RISK-03Dangerous, Violent, or Hateful Content 4 4 1 in force, 3 not yet in force
The 4 laws behind MAP 1.6 and GAI-RISK-03
GAI-RISK-08Information Integrity 4 4 2 in force, 2 not yet in force
The 4 laws behind MAP 1.6 and GAI-RISK-08
MAP 2.2Information about the AI system’s knowledge limits and how system output may be... GAI-RISK-07Human-AI Configuration 5 4 1 in force, 4 not yet in force
The 5 laws behind MAP 2.2 and GAI-RISK-07
GAI-RISK-08Information Integrity 4 3 1 in force, 3 not yet in force
The 4 laws behind MAP 2.2 and GAI-RISK-08
MAP 2.3Scientific integrity and TEVV considerations are identified and documented, including... GAI-RISK-07Human-AI Configuration 12 9 8 in force, 4 not yet in force
The 12 laws behind MAP 2.3 and GAI-RISK-07

and 2 more, every one in the free file.

MAP 3.3Targeted application scope is specified and documented based on the system’s... GAI-RISK-08Information Integrity 144 87 125 in force, 15 not yet in force, 1 blocked by a court, 3 proposed
The 144 laws behind MAP 3.3 and GAI-RISK-08

and 134 more, every one in the free file.

GAI-RISK-11Obscene, Degrading, and/or Abusive Content 144 86 124 in force, 16 not yet in force, 1 blocked by a court, 3 proposed
The 144 laws behind MAP 3.3 and GAI-RISK-11

and 134 more, every one in the free file.

GAI-RISK-07Human-AI Configuration 6 5 4 in force, 2 not yet in force
The 6 laws behind MAP 3.3 and GAI-RISK-07
GAI-RISK-04Data Privacy 3 2 3 in force
The 3 laws behind MAP 3.3 and GAI-RISK-04
GAI-RISK-09Information Security 2 2 2 in force
The 2 laws behind MAP 3.3 and GAI-RISK-09
MAP 3.5Processes for human oversight are defined, assessed, and documented in accordance with... GAI-RISK-07Human-AI Configuration 26 19 18 in force, 8 not yet in force
The 26 laws behind MAP 3.5 and GAI-RISK-07

and 16 more, every one in the free file.

GAI-RISK-04Data Privacy 6 3 4 in force, 2 not yet in force
The 6 laws behind MAP 3.5 and GAI-RISK-04
GAI-RISK-08Information Integrity 2 2 2 in force
The 2 laws behind MAP 3.5 and GAI-RISK-08
MAP 4.1Approaches for mapping AI technology and legal risks of its components – including the... GAI-RISK-12Value Chain and Component Integration 161 111 157 in force, 4 not yet in force
The 161 laws behind MAP 4.1 and GAI-RISK-12

and 151 more, every one in the free file.

GAI-RISK-09Information Security 145 107 142 in force, 3 not yet in force
The 145 laws behind MAP 4.1 and GAI-RISK-09

and 135 more, every one in the free file.

GAI-RISK-10Intellectual Property 51 39 50 in force, 1 not yet in force
The 51 laws behind MAP 4.1 and GAI-RISK-10

and 41 more, every one in the free file.

MAP 5.1Likelihood and magnitude of each identified impact (both potentially beneficial and... GAI-RISK-04Data Privacy 9 8 3 in force, 1 not yet in force, 5 proposed
The 9 laws behind MAP 5.1 and GAI-RISK-04
GAI-RISK-07Human-AI Configuration 3 3 3 in force
The 3 laws behind MAP 5.1 and GAI-RISK-07
MEASURE 2.4The functionality and behavior of the AI system and its components – as identified in... GAI-RISK-07Human-AI Configuration 22 11 12 in force, 10 not yet in force
The 22 laws behind MEASURE 2.4 and GAI-RISK-07

and 12 more, every one in the free file.

MEASURE 2.5The AI system to be deployed is demonstrated to be valid and reliable. Limitations of... GAI-RISK-07Human-AI Configuration 2 2 2 in force
The 2 laws behind MEASURE 2.5 and GAI-RISK-07
GAI-RISK-04Data Privacy 2 1 1 in force, 1 not yet in force
The 2 laws behind MEASURE 2.5 and GAI-RISK-04
GAI-RISK-09Information Security 2 1 1 in force, 1 not yet in force
The 2 laws behind MEASURE 2.5 and GAI-RISK-09
MEASURE 2.6The AI system is evaluated regularly for safety risks – as identified in the MAP... GAI-RISK-07Human-AI Configuration 6 6 2 in force, 3 not yet in force, 1 proposed
The 6 laws behind MEASURE 2.6 and GAI-RISK-07
GAI-RISK-03Dangerous, Violent, or Hateful Content 4 4 1 in force, 3 not yet in force
The 4 laws behind MEASURE 2.6 and GAI-RISK-03
GAI-RISK-11Obscene, Degrading, and/or Abusive Content 4 4 1 in force, 3 not yet in force
The 4 laws behind MEASURE 2.6 and GAI-RISK-11
GAI-RISK-09Information Security 4 3 2 in force, 2 not yet in force
The 4 laws behind MEASURE 2.6 and GAI-RISK-09
GAI-RISK-08Information Integrity 3 3 1 in force, 1 not yet in force, 1 proposed
The 3 laws behind MEASURE 2.6 and GAI-RISK-08
GAI-RISK-04Data Privacy 3 2 2 in force, 1 not yet in force
The 3 laws behind MEASURE 2.6 and GAI-RISK-04
MEASURE 2.7AI system security and resilience – as identified in the MAP function – are evaluated... GAI-RISK-07Human-AI Configuration 2 2 1 in force, 1 not yet in force
The 2 laws behind MEASURE 2.7 and GAI-RISK-07
GAI-RISK-04Data Privacy 2 1 1 in force, 1 not yet in force
The 2 laws behind MEASURE 2.7 and GAI-RISK-04
GAI-RISK-09Information Security 2 1 1 in force, 1 not yet in force
The 2 laws behind MEASURE 2.7 and GAI-RISK-09
MEASURE 2.8Risks associated with transparency and accountability – as identified in the MAP... GAI-RISK-07Human-AI Configuration 84 52 56 in force, 15 not yet in force, 1 blocked by a court, 12 proposed
The 84 laws behind MEASURE 2.8 and GAI-RISK-07

and 74 more, every one in the free file.

GAI-RISK-08Information Integrity 84 52 56 in force, 15 not yet in force, 1 blocked by a court, 12 proposed
The 84 laws behind MEASURE 2.8 and GAI-RISK-08

and 74 more, every one in the free file.

GAI-RISK-11Obscene, Degrading, and/or Abusive Content 5 5 2 in force, 3 not yet in force
The 5 laws behind MEASURE 2.8 and GAI-RISK-11
GAI-RISK-03Dangerous, Violent, or Hateful Content 3 3 1 in force, 2 not yet in force
The 3 laws behind MEASURE 2.8 and GAI-RISK-03
GAI-RISK-04Data Privacy 2 2 1 in force, 1 not yet in force
The 2 laws behind MEASURE 2.8 and GAI-RISK-04
MEASURE 2.9The AI model is explained, validated, and documented, and AI system output is... GAI-RISK-07Human-AI Configuration 5 5 5 in force
The 5 laws behind MEASURE 2.9 and GAI-RISK-07
GAI-RISK-04Data Privacy 4 4 1 in force, 3 not yet in force
The 4 laws behind MEASURE 2.9 and GAI-RISK-04
MEASURE 2.10Privacy risk of the AI system – as identified in the MAP function – is examined and documented. GAI-RISK-04Data Privacy 6 6 5 in force, 1 not yet in force
The 6 laws behind MEASURE 2.10 and GAI-RISK-04
GAI-RISK-07Human-AI Configuration 3 3 2 in force, 1 not yet in force
The 3 laws behind MEASURE 2.10 and GAI-RISK-07
GAI-RISK-11Obscene, Degrading, and/or Abusive Content 2 2 2 in force
The 2 laws behind MEASURE 2.10 and GAI-RISK-11
MEASURE 2.11Fairness and bias – as identified in the MAP function – are evaluated and results are... GAI-RISK-07Human-AI Configuration 6 5 4 in force, 2 not yet in force
The 6 laws behind MEASURE 2.11 and GAI-RISK-07
MEASURE 3.3Feedback processes for end users and impacted communities to report problems and... GAI-RISK-07Human-AI Configuration 10 10 3 in force, 1 not yet in force, 6 proposed
The 10 laws behind MEASURE 3.3 and GAI-RISK-07
GAI-RISK-08Information Integrity 9 9 2 in force, 1 not yet in force, 6 proposed
The 9 laws behind MEASURE 3.3 and GAI-RISK-08
GAI-RISK-04Data Privacy 2 2 2 not yet in force
The 2 laws behind MEASURE 3.3 and GAI-RISK-04
MANAGE 1.3Responses to the AI risks deemed high priority, as identified by the MAP function, are... GAI-RISK-04Data Privacy 5 5 5 proposed
The 5 laws behind MANAGE 1.3 and GAI-RISK-04
MANAGE 2.4Mechanisms are in place and applied, and responsibilities are assigned and understood,... GAI-RISK-07Human-AI Configuration 5 4 5 in force
The 5 laws behind MANAGE 2.4 and GAI-RISK-07
MANAGE 4.1Post-deployment AI system monitoring plans are implemented, including mechanisms for... GAI-RISK-09Information Security 6 6 6 in force
The 6 laws behind MANAGE 4.1 and GAI-RISK-09
GAI-RISK-04Data Privacy 2 2 2 in force
The 2 laws behind MANAGE 4.1 and GAI-RISK-04
MANAGE 4.3Incidents and errors are communicated to relevant AI actors, including affected... GAI-RISK-09Information Security 9 7 5 in force, 3 not yet in force, 1 proposed
The 9 laws behind MANAGE 4.3 and GAI-RISK-09
Not connected to the NIST AI 600-1: 44 of NIST AI RMF's controls

Short of 2 laws

The same duties reach these and a NIST AI 600-1 control, in fewer than 2 of the laws we track.

No NIST AI 600-1 control on the same duties

Laws reach these, but no duty that reaches one of them also reaches a NIST AI 600-1 control.

  • GOVERN 1.2 The characteristics of trustworthy AI are integrated into organizational policies,..., 6 laws
  • GOVERN 1.7 Processes and procedures are in place for decommissioning and phasing out AI systems..., 1 law
  • GOVERN 2.2 The organization’s personnel and partners receive AI risk management training to..., 3 laws
  • GOVERN 3.2 Policies and procedures are in place to define and differentiate roles and..., 5 laws
  • GOVERN 5.1 Organizational policies and practices are in place to collect, consider, prioritize,..., 1 law
  • GOVERN 6.2 Contingency processes are in place to handle failures or incidents in third-party data..., 1 law
  • MAP 1.5 Organizational risk tolerances are determined and documented., 1 law
  • MEASURE 1.2 Appropriateness of AI metrics and effectiveness of existing controls are regularly..., 1 law
  • MEASURE 1.3 Internal experts who did not serve as front-line developers for the system and/or..., 10 laws
  • MEASURE 2.2 Evaluations involving human subjects meet applicable requirements (including human..., 1 law
  • MEASURE 2.3 AI system performance or assurance criteria are measured qualitatively or..., 6 laws
  • MEASURE 3.1 Approaches, personnel, and documentation are in place to regularly identify and track..., 2 laws
  • MANAGE 2.1 Resources required to manage AI risks are taken into account – along with viable..., 1 law
  • MANAGE 3.1 AI risks and benefits from third-party resources are regularly monitored, and risk..., 3 laws

No law we track reaches these

No duty in the laws we track reaches these controls.

  • GOVERN 3.1 Decision-making related to mapping, measuring, and managing AI risks throughout the...
  • GOVERN 5.2 Mechanisms are established to enable the team that developed or deployed AI systems to...
  • MAP 1.2 Interdisciplinary AI actors, competencies, skills, and capacities for establishing...
  • MAP 1.3 The organization’s mission and relevant goals for AI technology are understood and documented.
  • MAP 1.4 The business value or context of business use has been clearly defined or – in the...
  • MAP 2.1 The specific tasks and methods used to implement the tasks that the AI system will...
  • MAP 3.1 Potential benefits of intended AI system functionality and performance are examined...
  • MAP 3.2 Potential costs, including non-monetary costs, which result from expected or realized...
  • MAP 4.2 Internal risk controls for components of the AI system, including third-party AI...
  • MAP 5.2 Practices and personnel for supporting regular engagement with relevant AI actors and...
  • MEASURE 1.1 Approaches and metrics for measurement of AI risks enumerated during the MAP function...
  • MEASURE 2.12 Environmental impact and sustainability of AI model training and management activities...
  • MEASURE 2.13 Effectiveness of the employed TEVV metrics and processes in the MEASURE function are...
  • MEASURE 3.2 Risk tracking approaches are considered for settings where AI risks are difficult to...
  • MEASURE 4.1 Measurement approaches for identifying AI risks are connected to deployment context(s)...
  • MEASURE 4.2 Measurement results regarding AI system trustworthiness in deployment context(s) and...
  • MEASURE 4.3 Measurable performance improvements or declines based on consultations with relevant...
  • MANAGE 1.2 Treatment of documented AI risks is prioritized based on impact, likelihood, and...
  • MANAGE 1.4 Negative residual risks (defined as the sum of all unmitigated risks) to both...
  • MANAGE 2.2 Mechanisms are in place and applied to sustain the value of deployed AI systems.
  • MANAGE 3.2 Pre-trained models which are used for development are monitored as part of AI system...
  • MANAGE 4.2 Measurable activities for continual improvements are integrated into AI system updates...

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 NIST AI 600-1 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.

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