AIX360

The AI Explainability 360 Python package includes a comprehensive set of algorithms that cover different dimensions of explanations along with proxy explainability metrics.

• AIX360 is integrated in the Kaa Explainability Platform.

Documentation

User Manual

User manual is available online, here.

Methodological Guidelines

• Methodological Guideline for Explainability

Scientific Contribution

• Comments on ISO 6254 (Explainability)

Benchmark

• Explicability benchmark

Application over use-case

• Unsupervised Anomaly Detection and Explainability tools for Time Series

State of the Art

• Characterization of the notion of trust

Demonstrator

• A demonstrator is available here. It relies on a surrogate model use-case.

Support

Support for AIX360 must be obtained directly from the component owners, you can contact them directly here.