Python library to assess the responsibility level of AI models for integration into MLOps workflows.
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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
Getting started
- as a consumer/user: consumer documentation
- as a contributor: contributor documentation
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