kaa-xai 25.12.0

KAA is a framework allowing to apply several explainability methods and metricsfrom several dedicated libraries on AI model to verify them.

Aie Confiance... https://www.youtube.com/watch?v=2gflQEF1WQU

KAA v25.12

KAA is a Python framework allowing to apply several methods and metrics from several dedicated XAI libraries on AI model to verify them. It is built around a kernel offering a TUI Text-based User Interface and hosting two sets of plugins:

• the plugins of the explainability libraries called pluginsXAI
• the plugins of the use cases called pluginsUCXAI

KAA must be considered as a comprehensibility tool. It is part of these mediation tools allowing to implement explainability methods in a guided way, to facilitate the adjustment of their parameters by adding knowledge of their influence. It then offers appropriate and relevant interfaces and visualizations of results to select the methods and metrics that are most suited to the user’s problem.

In this version of KAA, the AIX360 (v0.3.0), Alibi (v0.9.6), Captum (v0.7.0), PAIR saliency (v0.2.1), Shap (v0.44.1) and Xplique (v1.4.0) plugins are provided.

Full documentation can be found in ./documentation/Kaa_User_and_Integration_Manual.pdf

Quick Start

KAA requires a version of python equal to 3.8 and several libraries including Tensorflow and Numpy. Installation can be done:

1. using Pypi:

pip install KAA-XAI

2. via downlading the v25.12 tag on our github:

Option 1: Using Git

git clone https://github.com/IRT-Saint-Exupery/KAA.git
cd KAA
git checkout tags/v25.12

Option 2: Download the ZIP archive

wget https://github.com/IRT-Saint-Exupery/KAA/archive/refs/tags/v25.12.zip
unzip v25.12.zip
cd KAA-25.12

Install the requirements:

pip install -r requirements.txt

Then install the XAI libraries you want:

pip install -r requirementsXAIlibs.txt

Now that KAA is installed, you can launch the TUI KAA .

python3 kaa/kaa.py -u example/pluginsUCXAI/ -b example/UseCase/ -r ~/KAA_example

or execute a command file of the example:

python3 kaa/kaa.py -u example/pluginsUCXAI/ -b example/UseCase/ -r ~/KAA_example -c example/example.cmd

The results are available in the -r path:

~/KAA_example
+-- fullReports
|   +-- Resnet
|       +-- UCRenaultWeldingResnet_fullReport__expl-data.pdf
+-- Xplique
    +-- Occlusion__bz64_pz35_ps3_ov1
    |   +-- contactSheet.pdf
    +-- Rise__bz64_ns2000_gz7_pp0-5
        +-- contactSheet.pdf