Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsOECD AI Principles (2024 Update)

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

15
Controls Mapped
16
Gaps Found
23%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to OECD AI Principles (2024 Update) with 23% coverage across 7 directly mapped controls. Analysis of 31 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 24 compliance gaps — primarily concentrated in Govern.

Source: TheArtOfService Knowledge Graph | 31 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 15 of 15 mapped controls across 4 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Govern(5 mappings)

AIRMF-GOV-01AI Risk Management Policies3 targets
OECD-AI-1.3Transparency and Explainability
OECD-AI-3.1General-Purpose and Generative AI Risks
OECD-AI-3.4Multi-Stakeholder Risk Cooperation
AIRMF-GOV-02AI Risk Culture2 targets
OECD-AI-1.3Transparency and Explainability
OECD-AI-3.1General-Purpose and Generative AI Risks

Manage(1 mappings)

AIRMF-MAN-01AI Risk Treatment
OECD-AI-3.4Multi-Stakeholder Risk Cooperation

Map(5 mappings)

AIRMF-MAP-02AI Risk Identification2 targets
OECD-AI-1.1Inclusive Growth, Sustainable Development and Well-being
OECD-AI-3.2Environmental Footprint Consideration
NIST-AI600-MAP-1GAI Risk Identification3 targets
OECD-AI-1.1Inclusive Growth, Sustainable Development and Well-being
OECD-AI-1.2Human Rights and Democratic Values
OECD-AI-3.2Environmental Footprint Consideration

Measure(4 mappings)

AIRMF-MEA-03AI Transparency and Explainability2 targets
OECD-AI-1.3Transparency and Explainability
OECD-AI-3.1General-Purpose and Generative AI Risks
NIST-AI600-MEA-4Environmental Impact Measurement2 targets
OECD-AI-1.1Inclusive Growth, Sustainable Development and Well-being
OECD-AI-3.2Environmental Footprint Consideration

Related Comparisons

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

Other OECD AI Principles (2024 Update) comparisons

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

NIST AI Risk Management Framework (AI RMF 1.0) has 31 controls across its framework, while OECD AI Principles (2024 Update) covers 14 controls. Direct mapping analysis identifies 7 overlapping controls (23% coverage). The frameworks diverge most significantly in Govern, where 7 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct OECD AI Principles (2024 Update) equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and OECD AI Principles (2024 Update)?

Of 31 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 7 map directly to OECD AI Principles (2024 Update) controls — representing 23% coverage. The remaining 24 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 AI Principles (2024 Update)?

24 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in OECD AI Principles (2024 Update). The highest concentration of gaps is in Govern with 7 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 AI Principles (2024 Update)?

The domain with the highest gap count is Govern (7 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.