Published July 16, 2024 | Version 24.05.14
Python Library Restricted

Explainability Platform Kaa

Description

Kaa is a framework allowing to apply several methods and metrics from several dedicated libraries on AI model
to verify them.
It is built around a kernel offering a text interface ( textitText-based User Interface) and hosting two sets of
plugins:

  • plugins of explainability libraries called pluginsXAI
  • the plugins of the textitvs explicability checkboxes called pluginsUCXAI

In this version of Kaa, the AIX360, Alibi, Captum, PAIR saliency, Shap and Xplique plugins are provided

Documentation

User Manual

User manual is available for download here.

Version 24.05.14 has only been tested on Ubuntu 20.04 and might not work on a Windows environment.

Methodological Guidelines

Scientific Contribution

Benchmark

Application over use-case

State of the Art

Demonstrator

A demonstrator based on public use-cases is available here.

A demonstrator based on private use-cases is available here.

Support

Support for Kaa  must be obtained by sending an email to support@confiance.ai

Ensure your email contains :

  • Your name
  • A link to this page
  • the version you are working with
  • A clear description of the problematic (bug, crash, feature or help request)
  • A full description of the problem whichallow to reproduce it
  • Any file or screenshort element mandatory for the full understanding of the problematic

Files

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Additional details

Trustworthy Attributes
Accountability
Engineering roles
Data Engineer
ML-Algorithm Engineer
IVVQ Engineer
Use cases
NLP
Object Reidentification
Time series
Visual Inspection
Vision
Surrogate Model
Functional Set
Explainability
Functional maturity
Technological maturity
Image Link
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