AI Governance & Compliance Checker

An automated system to evaluate AI models and systems for compliance with various regulatory frameworks and ethical guidelines. The tool will help organizations ensure their AI implementations meet necessary standards and best practices.

🚀 Live Demo: AI Governance Checker

Project Goals

1. Create comprehensive checklist based on major AI regulations
2. Implement automated testing for bias and fairness
3. Develop user-friendly dashboard for compliance monitoring
4. Enable customizable compliance rules and reporting

Key Features

• Automated compliance scanning
• Real-time monitoring dashboard
• Customizable rule engine
• Comprehensive reporting system
• Integration with popular AI frameworks

Development Roadmap

Current development focuses on core functionality:

Phase 1: Framework Analysis

• [ ] Research and document AI regulations (EU AI Act, IEEE standards)
• [ ] Define compliance metrics and scoring system
• [ ] Create framework mapping structure
• [ ] Design validation rules schema

Phase 2: Core Engine Development

• [ ] Build compliance rule parser
• [ ] Implement validation engine
• [ ] Create model analysis pipeline
• [ ] Develop bias detection system

Phase 3: Dashboard Development

• [ ] Design user interface mockups
• [ ] Implement real-time monitoring views
• [ ] Create interactive compliance reports
• [ ] Build configuration interface

Phase 4: API Implementation

• [ ] Design RESTful API endpoints
• [ ] Implement authentication system
• [ ] Create SDK for major ML frameworks
• [ ] Build documentation portal

Technical Architecture

The system is built with:

• Frontend: React, TypeScript, Tailwind CSS
• Backend: FastAPI, Python, PostgreSQL
• ML Pipeline: PyTorch, Scikit-learn
• Infrastructure: Docker, AWS

Documentation

• Technical Documentation
• API Reference
• User Guide