Cross-Framework Mapping

Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022)vsOECD Recommendation on Artificial Intelligence (2024 Update)

See exactly how Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls map to OECD Recommendation on Artificial Intelligence (2024 Update). Pre-computed mappings, identified gaps, and coverage analysis.

11
Controls Mapped
37
Gaps Found
23%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) maps to OECD Recommendation on Artificial Intelligence (2024 Update) with 23% coverage across 11 directly mapped controls. Analysis of 48 Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls identifies 37 compliance gaps — primarily concentrated in Algorithm Recommendation.

Source: TheArtOfService Knowledge Graph | 48 controls analysed | 723 frameworks | 332K+ cross-framework mappings

Control Mappings

Showing 11 of 11 mapped controls across 4 domains. Sign up to explore all 332K+ mappings across 723 frameworks.

Algorithm Recommendation(3 mappings)

CN-ALG-A16Algorithm Transparency Disclosure to Users
OECDAI24-2Generative AI Transparency, Content Provenance, and Authenticity
CN-ALG-A18Protection of Minors
OECDAI24-5Workplace AI, Worker Voice, Children Protection, and Vulnerable Populations
CN-ALG-A20Worker Protection (Gig Economy)
OECDAI24-5Workplace AI, Worker Voice, Children Protection, and Vulnerable Populations

Deep Synthesis(2 mappings)

CN-DS-A16Technical Marking of Synthetic Content
OECDAI24-2Generative AI Transparency, Content Provenance, and Authenticity
CN-DS-A17Conspicuous Labelling of Synthetic Content
OECDAI24-2Generative AI Transparency, Content Provenance, and Authenticity

Ethics(1 mappings)

CN-ETH-REVScience and Technology Ethics Review
OECDAI24-7Deployer Responsibilities, Agentic AI, and Engagement with Rights Holders

Generative AI Measures(5 mappings)

CN-GAI-A10Target Users and Minor Anti-Addiction
OECDAI24-5Workplace AI, Worker Voice, Children Protection, and Vulnerable Populations
CN-GAI-A12Labelling of Generated Content
OECDAI24-2Generative AI Transparency, Content Provenance, and Authenticity
CN-GAI-A14Illegal Content Disposal and Reporting
OECDAI24-4AI Incident Reporting, Information Safety, Misinformation, and Manipulation Mitigation
CN-GAI-A4Content Compliance and Prohibited Content
OECDAI24-7Deployer Responsibilities, Agentic AI, and Engagement with Rights Holders
CN-GAI-A9Provider Responsibility for Outputs
OECDAI24-7Deployer Responsibilities, Agentic AI, and Engagement with Rights Holders

Related Comparisons

Other Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) comparisons

Other OECD Recommendation on Artificial Intelligence (2024 Update) comparisons

Stop Paying Consultants to Read Spreadsheets

AI-powered compliance intelligence across 723 frameworks — at a fraction of consulting costs.

$0/forever

Free

  • 723 framework browser
  • Cross-framework mappings (332K+)
  • 824 compliance assessments
  • 3 AI queries & searches per day
Get Started Free
Recommended
$49/month

Professional

  • Unlimited AI Compliance Advisory
  • Unlimited full-text search
  • Framework self-assessment
  • PDF, Excel & CSV exports
Start 7-Day Free Trial →

What are the key differences between Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) and OECD Recommendation on Artificial Intelligence (2024 Update)?

Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) has 48 controls across its framework, while OECD Recommendation on Artificial Intelligence (2024 Update) covers 8 controls. Direct mapping analysis identifies 11 overlapping controls (23% coverage). The frameworks diverge most significantly in Algorithm Recommendation, where 16 Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls have no direct OECD Recommendation on Artificial Intelligence (2024 Update) equivalent.

How many controls map between Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) and OECD Recommendation on Artificial Intelligence (2024 Update)?

Of 48 total Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls, 11 map directly to OECD Recommendation on Artificial Intelligence (2024 Update) controls — representing 23% coverage. The remaining 37 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) to OECD Recommendation on Artificial Intelligence (2024 Update)?

37 Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls have no direct equivalent in OECD Recommendation on Artificial Intelligence (2024 Update). The highest concentration of gaps is in Algorithm Recommendation with 16 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 Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) and OECD Recommendation on Artificial Intelligence (2024 Update)?

The domain with the highest gap count is Algorithm Recommendation (16 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.