Cross-Framework Mapping

OECD AI PrinciplesvsColorado Artificial Intelligence Act (proposed SB 24-205)

See exactly how OECD AI Principles controls map to Colorado Artificial Intelligence Act (proposed SB 24-205). Pre-computed mappings, identified gaps, and coverage analysis.

13
Controls Mapped
0
Gaps Found
75%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

OECD AI Principles maps to Colorado Artificial Intelligence Act (proposed SB 24-205) with 75% coverage across 6 directly mapped controls. Analysis of 8 OECD AI Principles controls identifies 2 compliance gaps — primarily concentrated in Robustness, Security, Safety.

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

Control Mappings

Showing 13 of 13 mapped controls across 6 domains. Sign up to explore all 332K+ mappings across 718 frameworks.

Transparency and Explainability(4 mappings)

OECDAI-2Transparency, Explainability, and Public-Facing Disclosure4 targets
CO-AIA-1702-4Developer Public Statement
CO-AIA-1703-4Consumer Pre-Decision Notice
CO-AIA-1703-6Deployer Public Statement
CO-AIA-1704Disclosure of AI System to Consumers

Accountability and Documentation(2 mappings)

OECDAI-4Accountability, Lifecycle Coverage, Documentation, and Record-Keeping2 targets
CO-AIA-1701-HIGHRISKHigh-Risk AI System and Consequential Decision Scope
CO-AIA-1703-2Risk Management Policy and Program

Data Governance and Bias(1 mappings)

OECDAI-5Data Governance, Training Data Quality, Privacy, and Bias Mitigation
CO-AIA-1702-2Developer Documentation and Disclosures to Deployers

Human Oversight and Redress(1 mappings)

OECDAI-6Human Oversight, Redress, and Contestation Mechanisms
CO-AIA-1703-5Adverse Decision Explanation, Correction and Appeal

Audit, Impact Assessments, Metrics(3 mappings)

OECDAI-7Third-Party AI Audit, Impact Assessments, and Metrics for Trustworthy AI3 targets
CO-AIA-1701-DISCRIMAlgorithmic Discrimination Definition
CO-AIA-1702-3Impact-Assessment Support Artifacts
CO-AIA-1703-3Impact Assessment

Incident Reporting, Compliance, International(2 mappings)

OECDAI-8AI Incident Reporting, Regulatory Compliance, Public Reporting, and International Cooperation2 targets
CO-AIA-1702-5Developer Disclosure of Algorithmic Discrimination
CO-AIA-1703-7Deployer Disclosure of Algorithmic Discrimination to AG

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What are the key differences between OECD AI Principles and Colorado Artificial Intelligence Act (proposed SB 24-205)?

OECD AI Principles has 8 controls across its framework, while Colorado Artificial Intelligence Act (proposed SB 24-205) covers 19 controls. Direct mapping analysis identifies 6 overlapping controls (75% coverage). The frameworks diverge most significantly in Robustness, Security, Safety, where 1 OECD AI Principles controls have no direct Colorado Artificial Intelligence Act (proposed SB 24-205) equivalent.

How many controls map between OECD AI Principles and Colorado Artificial Intelligence Act (proposed SB 24-205)?

Of 8 total OECD AI Principles controls, 6 map directly to Colorado Artificial Intelligence Act (proposed SB 24-205) controls — representing 75% coverage. The remaining 2 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 Colorado Artificial Intelligence Act (proposed SB 24-205)?

2 OECD AI Principles controls have no direct equivalent in Colorado Artificial Intelligence Act (proposed SB 24-205). The highest concentration of gaps is in Robustness, Security, Safety 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 Colorado Artificial Intelligence Act (proposed SB 24-205)?

The domain with the highest gap count is Robustness, Security, Safety (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.