Cross-Framework Mapping

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

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

27
Controls Mapped
25
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 with 23% coverage across 12 directly mapped controls. Analysis of 52 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 40 compliance gaps — primarily concentrated in Manage.

Source: TheArtOfService Knowledge Graph | 52 controls analysed | 730 frameworks | 503K+ cross-framework mappings

Control Mappings

Showing 20 of 27 mapped controls across 4 domains. Sign up to explore all 503K+ mappings across 730 frameworks.

Govern(10 mappings)

AIRMF-GOV-01AI Risk Management Policies4 targets
OECD-AI-02AI system categorization by risk level
OECD-AI-03Bias detection and mitigation
OECD-AI-04AI model validation and testing
OECD-AI-1.3Transparency and Explainability
AIRMF-GOV-02AI Risk Culture4 targets
OECD-AI-02AI system categorization by risk level
OECD-AI-03Bias detection and mitigation
OECD-AI-04AI model validation and testing
OECD-AI-1.3Transparency and Explainability
NIST-AI600-GOV-1Legal and Regulatory Compliance2 targets
OECD-AI-14Privacy protection in AI training data
OECD-AI-19Regulatory compliance for AI

Manage(4 mappings)

AIRMF-MAN-01AI Risk Treatment3 targets
OECD-AI-02AI system categorization by risk level
OECD-AI-03Bias detection and mitigation
OECD-AI-04AI model validation and testing
NIST-AI600-MGT-5Decommissioning Procedures
OECD-AI-15Data retention for AI models

Map(6 mappings)

AIRMF-MAP-02AI Risk Identification2 targets
OECD-AI-01AI risk identification and assessment
OECD-AI-1.1Inclusive Growth, Sustainable Development, and Well-Being
AIRMF-MAP-03AI Impact Assessment
OECD-AI-01AI risk identification and assessment
NIST-AI600-MAP-1GAI Risk Identification3 targets
OECD-AI-1.1Inclusive Growth, Sustainable Development, and Well-Being
OECD-AI-1.2Human-Centred Values and Fairness
OECD-AI-14Privacy protection in AI training data

+7 more mappings

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

NIST AI Risk Management Framework (AI RMF 1.0) has 52 controls across its framework, while OECD AI Principles covers 46 controls. Direct mapping analysis identifies 12 overlapping controls (23% coverage). The frameworks diverge most significantly in Manage, where 11 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct OECD AI Principles equivalent.

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

Of 52 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 12 map directly to OECD AI Principles controls — representing 23% coverage. The remaining 40 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?

40 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in OECD AI Principles. The highest concentration of gaps is in Manage with 11 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?

The domain with the highest gap count is Manage (11 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.