XAI - The eXplainable AI Framework [ALPHA]

Bringing together cutting edge research tools with the right processes to introduce explainability into machine learning systems.

The XAI Framework is open source, and converts the the Principles for Responsible Machine Learning into a practical set of tools and processes.

What do we mean by eXplainable AI?

We see the challenge of explainability as more than just an algorithmic challenge. The XAI Framework is designed to empowers you to introduce explainability and perform bias evaluation through three steps: 1) data analysis, 2) model evaluation, and 3) production monitoring. This is visualised in the diagram below.

Interested to learn more? Watch the technical video below.

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