Cross-Framework Mapping

OECD Recommendation on Artificial Intelligence (2024 Update)vsNIST AI Risk Management Framework (AI RMF 1.0)

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

13
Controls Mapped
0
Gaps Found
38%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

OECD Recommendation on Artificial Intelligence (2024 Update) maps to NIST AI Risk Management Framework (AI RMF 1.0) with 38% coverage across 3 directly mapped controls. Analysis of 8 OECD Recommendation on Artificial Intelligence (2024 Update) controls identifies 5 compliance gaps — primarily concentrated in Interoperability and Cross-Border.

Source: TheArtOfService Knowledge Graph | 8 controls analysed | 718 frameworks | 332K+ cross-framework mappings

Control Mappings

Showing 13 of 13 mapped controls across 3 domains. Sign up to explore all 332K+ mappings across 718 frameworks.

Definitions and Scope(3 mappings)

OECDAI24-1Updated AI System Definition, Foundation Models, and Generative AI Scope3 targets
AIRMF-MAP-02AI Risk Identification
NIST-AI600-MAP-1GAI Risk Identification
NIST-AI600-MEA-4Environmental Impact Measurement

GenAI Transparency and Provenance(3 mappings)

OECDAI24-2Generative AI Transparency, Content Provenance, and Authenticity3 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-GOV-02AI Risk Culture
AIRMF-MEA-03AI Transparency and Explainability

Frontier Model Risk(7 mappings)

OECDAI24-3Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation7 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-GOV-02AI Risk Culture
AIRMF-MAN-01AI Risk Treatment
AIRMF-MAP-02AI Risk Identification
AIRMF-MEA-03AI Transparency and Explainability
NIST-AI600-MAP-1GAI Risk Identification
NIST-AI600-MEA-4Environmental Impact Measurement

Related Comparisons

Other OECD Recommendation on Artificial Intelligence (2024 Update) comparisons

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

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

OECD Recommendation on Artificial Intelligence (2024 Update) has 8 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 52 controls. Direct mapping analysis identifies 3 overlapping controls (38% coverage). The frameworks diverge most significantly in Interoperability and Cross-Border, where 1 OECD Recommendation on Artificial Intelligence (2024 Update) controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.

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

Of 8 total OECD Recommendation on Artificial Intelligence (2024 Update) controls, 3 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls — representing 38% coverage. The remaining 5 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

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

5 OECD Recommendation on Artificial Intelligence (2024 Update) controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in Interoperability and Cross-Border with 1 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 OECD Recommendation on Artificial Intelligence (2024 Update) and NIST AI Risk Management Framework (AI RMF 1.0)?

The domain with the highest gap count is Interoperability and Cross-Border (1 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.