Cross-Framework Mapping

OECD AI PrinciplesvsNIST AI Risk Management Framework (AI RMF 1.0)

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

22
Controls Mapped
0
Gaps Found
62%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

OECD AI Principles maps to NIST AI Risk Management Framework (AI RMF 1.0) with 62% coverage across 5 directly mapped controls. Analysis of 8 OECD AI Principles controls identifies 3 compliance gaps — primarily concentrated in Audit, Impact Assessments, Metrics.

Source: TheArtOfService Knowledge Graph | 8 controls analysed | 723 frameworks | 332K+ cross-framework mappings

Control Mappings

Showing 20 of 22 mapped controls across 5 domains. Sign up to explore all 332K+ mappings across 723 frameworks.

Inclusive Growth and Human-Centred Values(3 mappings)

OECDAI-1Inclusive Growth, Human-Centred Values, Fairness, and Sustainable Development3 targets
AIRMF-MAP-02AI Risk Identification
NIST-AI600-MAP-1GAI Risk Identification
NIST-AI600-MEA-4Environmental Impact Measurement

Transparency and Explainability(3 mappings)

OECDAI-2Transparency, Explainability, and Public-Facing Disclosure3 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-GOV-02AI Risk Culture
AIRMF-MEA-03AI Transparency and Explainability

Robustness, Security, Safety(7 mappings)

OECDAI-3Robustness, Security, Safety, and Adversarial Attack Protection7 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-GOV-02AI Risk Culture
AIRMF-MAN-01AI Risk Treatment
AIRMF-MAP-02AI Risk Identification
AIRMF-MAP-03AI Impact Assessment
AIRMF-MEA-03AI Transparency and Explainability
NIST-AI600-MAP-2Stakeholder Impact Assessment

Data Governance and Bias(7 mappings)

OECDAI-5Data Governance, Training Data Quality, Privacy, and Bias Mitigation7 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-GOV-02AI Risk Culture
AIRMF-MAN-01AI Risk Treatment
AIRMF-MEA-03AI Transparency and Explainability
NIST-AI600-GOV-1Legal and Regulatory Compliance
NIST-AI600-MAP-1GAI Risk Identification
NIST-AI600-MEA-3Privacy Leak Assessment

+2 more mappings

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

OECD AI Principles has 8 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 52 controls. Direct mapping analysis identifies 5 overlapping controls (62% coverage). The frameworks diverge most significantly in Audit, Impact Assessments, Metrics, where 1 OECD AI Principles controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.

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

Of 8 total OECD AI Principles controls, 5 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls — representing 62% coverage. The remaining 3 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping OECD AI Principles to NIST AI Risk Management Framework (AI RMF 1.0)?

3 OECD AI Principles controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in Audit, Impact Assessments, Metrics 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 AI Principles and NIST AI Risk Management Framework (AI RMF 1.0)?

The domain with the highest gap count is Audit, Impact Assessments, Metrics (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.