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53 changes: 49 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -18,13 +18,15 @@ gopal/
│ ├── v1/ # Version 1 of global policies
│ └── library/ # Reusable policy components
├── international/ # International regulatory frameworks
│ ├── brazil/ # Brazilian AI governance frameworks
│ ├── eu_ai_act/ # European Union AI Act
│ ├── india/ # Indian AI regulatory frameworks
│ └── nist/ # NIST AI standards
│ ├── india/ # Indian Digital India Policy and AI frameworks
│ └── nist/ # NIST AI Risk Management Framework (AI RMF 1.0)
├── industry_specific/ # Industry-specific requirements
│ ├── automotive/ # Automotive industry
│ ├── bfs/ # Banking & Financial Services
│ ├── healthcare/ # Healthcare industry
│ └── automotive/ # Automotive industry
│ ├── education/ # Educational institutions and EdTech
│ └── healthcare/ # Healthcare industry
├── operational/ # Operational policies
│ ├── aiops/ # AI Operations policies
│ ├── cost/ # Cost management policies
Expand All @@ -43,6 +45,33 @@ Policies are organized in a modular structure to allow for clear separation of c
4. **Operational Policies**: Requirements related to operational aspects
5. **Custom Policies**: User-defined policy categories (local development only)

### International Regulatory Frameworks

GOPAL includes comprehensive policy implementations for major international AI regulatory frameworks:

- **Brazil**: AI governance policies aligned with Brazilian regulatory initiatives
- **European Union**: Complete implementation of the EU AI Act requirements
- **India**: Digital India Policy compliance and AI governance frameworks
- **NIST**: Full implementation of the NIST AI Risk Management Framework (AI RMF 1.0) including:
- **GOVERN**: Governance and oversight functions
- **MAP**: AI system mapping and categorization
- **MEASURE**: Risk measurement and assessment
- **MANAGE**: Risk management and mitigation

### Industry-Specific Policies

GOPAL provides specialized policies for key industry verticals:

- **Automotive**: Safety-critical AI systems in vehicles
- **Banking & Financial Services**: Financial AI compliance and risk management
- **Education**: Comprehensive educational AI policies covering:
- Academic integrity and AI plagiarism detection
- Assessment and evaluation with human oversight
- Fairness and equity in educational AI systems
- Safe learning environments and age-appropriate content
- Student data privacy (FERPA, COPPA compliance)
- **Healthcare**: Medical AI systems and patient data protection

## Versioning

Each policy category uses versioned directories (e.g., `v1/`) to support evolution while maintaining backward compatibility. When referencing policies:
Expand All @@ -58,6 +87,22 @@ Gopal is designed to work seamlessly with [AICertify](https://github.com/princip

Gopal can also be used independently with any OPA-compatible system. The policies follow standard OPA patterns and can be evaluated using the OPA CLI or API.

## Recent Additions

GOPAL continues to expand with new regulatory frameworks and industry-specific policies:

### New International Frameworks
- **Brazil AI Governance**: Policies aligned with Brazilian AI regulatory initiatives
- **Enhanced NIST Implementation**: Complete AI Risk Management Framework with all four core functions
- **Expanded India Policies**: Digital India Policy compliance frameworks

### New Industry Verticals
- **Education Sector**: Comprehensive policies for educational institutions and EdTech companies, including:
- Academic integrity and responsible AI use in education
- Fair and unbiased automated assessment systems
- Student privacy protection (FERPA/COPPA compliance)
- Safe learning environments with age-appropriate AI tools

## Custom Policies

The `custom/` directory is provided for local development of organization-specific policies. This directory is:
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