Framework-RAI
Automates responsible AI development and documentation by scanning projects, providing suggestions, and analyzing models.
About
Framework-RAI assists in responsible AI development by automating the detection of AI libraries, model files, and training scripts within a project. It provides suggestions for enhancing bias mitigation, transparency, privacy, and monitoring. The tool also analyzes model code for potential issues related to bias, documentation, security, and testing, and facilitates the creation and maintenance of responsible AI documentation, including checklists and model cards.
Key Features
- Scans projects for AI components.
- Generates responsible AI suggestions.
- Analyzes model code for potential issues.
- Manages responsible AI documentation.
- Supports Model Context Protocol (MCP) using JSON-RPC 2.0
- 0 GitHub stars
Use Cases
- Improving bias mitigation in AI models
- Enhancing transparency and documentation of AI systems
- Automating security and testing processes for AI models
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