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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.

22
Controls Mapped
30
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 AI RMF Functions.

Source: TheArtOfService Knowledge Graph | 52 controls analysed | 723 frameworks | 332K+ cross-framework mappings

Control Mappings

Showing 20 of 22 mapped controls across 1 domains. Sign up to explore all 332K+ mappings across 723 frameworks.

AI RMF Functions(20 mappings)

AIRMF-GOV-01AI Risk Management Policies3 targets
→OECDAI-2Transparency, Explainability, and Public-Facing Disclosure
→OECDAI-3Robustness, Security, Safety, and Adversarial Attack Protection
→OECDAI-5Data Governance, Training Data Quality, Privacy, and Bias Mitigation
AIRMF-GOV-02AI Risk Culture3 targets
→OECDAI-2Transparency, Explainability, and Public-Facing Disclosure
→OECDAI-3Robustness, Security, Safety, and Adversarial Attack Protection
→OECDAI-5Data Governance, Training Data Quality, Privacy, and Bias Mitigation
AIRMF-MAN-01AI Risk Treatment2 targets
→OECDAI-3Robustness, Security, Safety, and Adversarial Attack Protection
→OECDAI-5Data Governance, Training Data Quality, Privacy, and Bias Mitigation
AIRMF-MAP-02AI Risk Identification2 targets
→OECDAI-1Inclusive Growth, Human-Centred Values, Fairness, and Sustainable Development
→OECDAI-3Robustness, Security, Safety, and Adversarial Attack Protection
AIRMF-MAP-03AI Impact Assessment
→OECDAI-3Robustness, Security, Safety, and Adversarial Attack Protection
AIRMF-MEA-03AI Transparency and Explainability3 targets
→OECDAI-2Transparency, Explainability, and Public-Facing Disclosure
→OECDAI-3Robustness, Security, Safety, and Adversarial Attack Protection
→OECDAI-5Data Governance, Training Data Quality, Privacy, and Bias Mitigation
NIST-AI600-GOV-1Legal and Regulatory Compliance2 targets
→OECDAI-5Data Governance, Training Data Quality, Privacy, and Bias Mitigation
→OECDAI-8AI Incident Reporting, Regulatory Compliance, Public Reporting, and International Cooperation
NIST-AI600-MAP-1GAI Risk Identification2 targets
→OECDAI-1Inclusive Growth, Human-Centred Values, Fairness, and Sustainable Development
→OECDAI-5Data Governance, Training Data Quality, Privacy, and Bias Mitigation
NIST-AI600-MAP-2Stakeholder Impact Assessment
→OECDAI-3Robustness, Security, Safety, and Adversarial Attack Protection
NIST-AI600-MEA-3Privacy Leak Assessment
→OECDAI-5Data Governance, Training Data Quality, Privacy, and Bias Mitigation

+2 more mappings

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Related Comparisons

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

NIST AI Risk Management Framework (AI RMF 1.0) vs Canada Artificial Intelligence and Data Act (AIDA)20 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs ASEAN Guide on AI Governance and Ethics16 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs ISO/IEC 23894:202314 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL)13 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs NIST Privacy Framework12 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs Azure Security Benchmark12 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs FTC GLBA Safeguards Rule (16 CFR Part 314)11 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs UK GDPR (UK General Data Protection Regulation)11 mappings

Other OECD AI Principles comparisons

Canada Artificial Intelligence and Data Act (AIDA) vs OECD AI Principles8 mappingsASEAN Guide on AI Governance and Ethics vs OECD AI Principles7 mappingsColorado Artificial Intelligence Act (proposed SB 24-205) vs OECD AI Principles6 mappingsBrazil AI Framework vs OECD AI Principles6 mappingsAustralia AI Ethics Framework vs OECD AI Principles6 mappingsPrivacy Act 2020 vs OECD AI Principles3 mappingsTurkey KVKK vs OECD AI Principles3 mappingsPrivacy Act 1988 (Australia) vs OECD AI Principles3 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 8 controls. Direct mapping analysis identifies 12 overlapping controls (23% coverage). The frameworks diverge most significantly in AI RMF Functions, where 19 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 AI RMF Functions with 19 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 AI RMF Functions (19 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

Related Resources

How to Map Controls Across Frameworks|Multi-Framework Compliance Guide|Compliance Glossary

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