RAITAP is a Python library to assess the responsibility level of AI models. It is designed to be easily integrated into existing MLOps workflows.
It is a wrapper around existing XAI frameworks, which provides a consistent API, allowing you to easily switch your configuration, combine frameworks, and obtain consolidated outputs.
RAITAP currently assesses the following 2 responsible AI dimensions:
- Transparency
- Robustness
as defined in Towards the certification of AI-based systems and MLOps as enabler of trustworthy AI
For more information
- as a consumer/user: consumer documentation
- as a contributor: contributor documentation