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