Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsOECD Recommendation on Artificial Intelligence (2024 Update)

See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to OECD Recommendation on Artificial Intelligence (2024 Update). Pre-computed mappings, identified gaps, and coverage analysis.

13
Controls Mapped
39
Gaps Found
13%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to OECD Recommendation on Artificial Intelligence (2024 Update) with 13% coverage across 7 directly mapped controls. Analysis of 52 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 45 compliance gaps — primarily concentrated in AI RMF Functions.

Source: TheArtOfService Knowledge Graph | 52 controls analysed | 718 frameworks | 332K+ cross-framework mappings

Control Mappings

Showing 13 of 13 mapped controls across 1 domains. Sign up to explore all 332K+ mappings across 718 frameworks.

AI RMF Functions(13 mappings)

AIRMF-GOV-01AI Risk Management Policies2 targets
OECDAI24-2Generative AI Transparency, Content Provenance, and Authenticity
OECDAI24-3Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation
AIRMF-GOV-02AI Risk Culture2 targets
OECDAI24-2Generative AI Transparency, Content Provenance, and Authenticity
OECDAI24-3Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation
AIRMF-MAN-01AI Risk Treatment
OECDAI24-3Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation
AIRMF-MAP-02AI Risk Identification2 targets
OECDAI24-1Updated AI System Definition, Foundation Models, and Generative AI Scope
OECDAI24-3Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation
AIRMF-MEA-03AI Transparency and Explainability2 targets
OECDAI24-2Generative AI Transparency, Content Provenance, and Authenticity
OECDAI24-3Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation
NIST-AI600-MAP-1GAI Risk Identification2 targets
OECDAI24-1Updated AI System Definition, Foundation Models, and Generative AI Scope
OECDAI24-3Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation
NIST-AI600-MEA-4Environmental Impact Measurement2 targets
OECDAI24-1Updated AI System Definition, Foundation Models, and Generative AI Scope
OECDAI24-3Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation

Related Comparisons

Other NIST AI Risk Management Framework (AI RMF 1.0) comparisons

Other OECD Recommendation on Artificial Intelligence (2024 Update) comparisons

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and OECD Recommendation on Artificial Intelligence (2024 Update)?

NIST AI Risk Management Framework (AI RMF 1.0) has 52 controls across its framework, while OECD Recommendation on Artificial Intelligence (2024 Update) covers 8 controls. Direct mapping analysis identifies 7 overlapping controls (13% coverage). The frameworks diverge most significantly in AI RMF Functions, where 24 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct OECD Recommendation on Artificial Intelligence (2024 Update) equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and OECD Recommendation on Artificial Intelligence (2024 Update)?

Of 52 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 7 map directly to OECD Recommendation on Artificial Intelligence (2024 Update) controls — representing 13% coverage. The remaining 45 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping NIST AI Risk Management Framework (AI RMF 1.0) to OECD Recommendation on Artificial Intelligence (2024 Update)?

45 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in OECD Recommendation on Artificial Intelligence (2024 Update). The highest concentration of gaps is in AI RMF Functions with 24 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.

Which control domains have the most gaps between NIST AI Risk Management Framework (AI RMF 1.0) and OECD Recommendation on Artificial Intelligence (2024 Update)?

The domain with the highest gap count is AI RMF Functions (24 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

This platform provides educational compliance tools, not legal, regulatory, or professional compliance advice. Cross-framework mappings are AI-assisted interpretations and do not reproduce or replace official standards. Framework names and trademarks belong to their respective owners. Consult qualified professionals for your specific compliance requirements. See our Terms of Service.