Cross-Framework Mapping

Brazil AI FrameworkvsOECD AI Principles

See exactly how Brazil AI Framework controls map to OECD AI Principles. Pre-computed mappings, identified gaps, and coverage analysis.

10
Controls Mapped
18
Gaps Found
32%
Coverage

Need this as a report you can hand to an assessor? A coverage crosswalk for this pair can be built to order.

According to the TheArtOfService Compliance Knowledge Graph:

Brazil AI Framework maps to OECD AI Principles with 32% coverage across 10 directly mapped controls. Analysis of 28 Brazil AI Framework controls identifies 19 compliance gaps, primarily concentrated in Brazil AI (PL 2338/2023) Cap. III: Risk Categorization of AI Systems.

Source: TheArtOfService Knowledge Graph | 28 controls analysed | 684 frameworks | 306K+ cross-framework mappings

Control Mappings

Showing 10 of 10 mapped controls across 4 domains. Sign up to explore all 306K+ mappings across 684 frameworks.

Brazil AI (PL 2338/2023) Cap. IV: Governance of AI Systems(3 mappings)

BRAI-A19Governance measures for AI agents
OECDAI-4Accountability, Lifecycle Coverage, Documentation, and Record-Keeping
BRAI-A22Algorithmic impact assessment
OECDAI-7Third-Party AI Audit, Impact Assessments, and Metrics for Trustworthy AI
BRAI-A26Publicity of AIA conclusions
OECDAI-2Transparency, Explainability, and Public-Facing Disclosure

Brazil AI (PL 2338/2023) Cap. I: Preliminary Provisions(2 mappings)

BRAI-A3Principles
OECDAI-4Accountability, Lifecycle Coverage, Documentation, and Record-Keeping
BRAI-A4Definitions
OECDAI-4Accountability, Lifecycle Coverage, Documentation, and Record-Keeping

Brazil AI (PL 2338/2023) Cap. VIII-IX: Codes, Sandbox and Final Provisions(2 mappings)

BRAI-A37Codes of good practice and governance
OECDAI-1Inclusive Growth, Human-Centred Values, Fairness, and Sustainable Development
BRAI-A42Text and data mining / copyright
OECDAI-5Data Governance, Training Data Quality, Privacy, and Bias Mitigation

Brazil AI (PL 2338/2023) Cap. II: Rights of Affected Persons(3 mappings)

BRAI-A5Rights of affected persons
OECDAI-6Human Oversight, Redress, and Contestation Mechanisms
BRAI-A7Right to prior information about AI interaction
OECDAI-2Transparency, Explainability, and Public-Facing Disclosure
BRAI-A9Right to contest and to human review
OECDAI-6Human Oversight, Redress, and Contestation Mechanisms
Coverage crosswalk

A Brazil AI Framework to OECD AI Principles crosswalk, built to order

The table above lists candidate mappings. A crosswalk answers the narrower question you are probably here for: which OECD AI Principles controls your existing Brazil AI Framework work already satisfies, which are real gaps, and the reasoning behind every claim so you can check it. One pair, $299, one time.

Brazil AI Framework into OECD AI Principles
Not published yet

This direction has not been through crosswalk review and sign off, so no coverage figure is published for it. Reporting an unreviewed number would be worse than reporting none. It can be built to order at the same price as a pair that is already on the shelf.

If the two frameworks turn out to have too little in common for a crosswalk to help you, we say so and refund it rather than send a number worth nothing.

OECD AI Principles into Brazil AI Framework
Not published yet

This direction has not been through crosswalk review and sign off, so no coverage figure is published for it. Reporting an unreviewed number would be worse than reporting none. It can be built to order at the same price as a pair that is already on the shelf.

If the two frameworks turn out to have too little in common for a crosswalk to help you, we say so and refund it rather than send a number worth nothing.

Brazil AI Framework to OECD AI Principles (built to order)
$299
per framework pair, one time
  • Every evidenced control, with the reasoning behind it
  • Every gap, with what it requires
  • Its level of review stated plainly, not a bare number

Why this page shows two different percentages. The 32% in the header counts how many Brazil AI Framework controls carry at least one candidate mapping in the graph, before any review. The crosswalk percentage counts something stricter: how many OECD AI Principles controls are actually evidenced, after a pass that argued against each mapping and kept only what survived. They answer different questions and they are not meant to agree.

A crosswalk narrows the work. It does not replace an audit, and your assessor may take a different view on individual controls. Mappings between frameworks are judgements, not text printed in either standard, which is why every claim in the report shows its reasoning. Questions go to support@theartofservice.com.

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What are the key differences between Brazil AI Framework and OECD AI Principles?

Brazil AI Framework has 28 controls across its framework, while OECD AI Principles covers 8 controls. Direct mapping analysis identifies 10 overlapping controls (32% coverage). The frameworks diverge most significantly in Brazil AI (PL 2338/2023) Cap. III: Risk Categorization of AI Systems, where 5 Brazil AI Framework controls have no direct OECD AI Principles equivalent.

How many controls map between Brazil AI Framework and OECD AI Principles?

Of 28 total Brazil AI Framework controls, 10 map directly to OECD AI Principles controls, representing 32% coverage. The remaining 19 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Brazil AI Framework to OECD AI Principles?

19 Brazil AI Framework controls have no direct equivalent in OECD AI Principles. The highest concentration of gaps is in Brazil AI (PL 2338/2023) Cap. III: Risk Categorization of AI Systems with 5 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 Brazil AI Framework and OECD AI Principles?

The domain with the highest gap count is Brazil AI (PL 2338/2023) Cap. III: Risk Categorization of AI Systems (5 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.