Brazil AI Framework
Brazilian AI regulatory framework
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Framework Domains (5)
Brazil AI Framework: AI Accountability & Oversight
Human oversight and accountability for AI (Brazil AI Framework)
| Code | Title |
|---|---|
| BR-AI-16 | Human oversight mechanisms |
| BR-AI-17 | Accountability framework for AI systems |
| BR-AI-18 | AI incident reporting and response |
| BR-AI-19 | Regulatory compliance for AI |
| BR-AI-20 | Third-party AI audit requirements |
Brazil AI Framework: AI Data Governance
Governing data used in AI systems (Brazil AI Framework)
| Code | Title |
|---|---|
| BR-AI-11 | Training data quality and governance |
| BR-AI-12 | Data bias assessment and mitigation |
| BR-AI-13 | Data provenance and lineage tracking |
| BR-AI-14 | Privacy protection in AI training data |
| BR-AI-15 | Data retention for AI models |
Brazil AI Framework: AI Risk Management
Managing risks associated with AI systems (Brazil AI Framework)
| Code | Title |
|---|---|
| BR-AI-01 | AI risk identification and assessment |
| BR-AI-02 | AI system categorization by risk level |
| BR-AI-03 | Bias detection and mitigation |
| BR-AI-04 | AI model validation and testing |
| BR-AI-05 | Ongoing AI risk monitoring |
Brazil AI Framework: AI Safety & Security
Ensuring AI system safety and security (Brazil AI Framework)
| Code | Title |
|---|---|
| BR-AI-21 | AI system robustness and resilience |
| BR-AI-22 | Adversarial attack protection |
| BR-AI-23 | AI model security and integrity |
| BR-AI-24 | Safe AI deployment procedures |
| BR-AI-25 | AI system lifecycle management |
Brazil AI Framework: AI Transparency & Explainability
Ensuring transparency in AI decision-making (Brazil AI Framework)
| Code | Title |
|---|---|
| BR-AI-06 | AI system documentation requirements |
| BR-AI-07 | Algorithmic transparency measures |
| BR-AI-08 | Explainability requirements for high-risk AI |
| BR-AI-09 | User notification of AI interactions |
| BR-AI-10 | Record-keeping for AI decisions |
Maps to 580 other frameworks
Frequently Asked Questions
What is Brazil AI Framework?
Brazil AI Framework is a compliance framework from Brazil with 5 domains and 25 controls. Brazilian AI regulatory framework It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
How many controls does Brazil AI Framework have?
Brazil AI Framework has 25 controls organised across 5 domains. The largest domains are Brazil AI Framework: AI Accountability & Oversight (5 controls), Brazil AI Framework: AI Data Governance (5 controls), Brazil AI Framework: AI Risk Management (5 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
What frameworks does Brazil AI Framework map to?
Brazil AI Framework maps to 580 other compliance frameworks. The top mapping partners are Australia AI Ethics Framework (36% coverage), China AI Regulations (36% coverage), Japan AI Guidelines (36% coverage). Use our comparison tool to explore control-level mappings between frameworks.
How do I get started with Brazil AI Framework compliance?
Start your Brazil AI Framework compliance journey by running a self-assessment on our platform to identify your current compliance posture. Our AI advisory can answer specific questions about Brazil AI Framework requirements, and cross-framework mapping helps you leverage existing controls from other frameworks you may already comply with. Create a free account to access all 25 controls and track your progress.
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