XAI Toolbox

• Values: { explainability fairness }
  • Explanation type: { perturbation }
  • Fairness type: { group fairness }
• Categories: { model-agnostic }
• Stage: { preprocessing post-processing }
• Repository: https://github.com/EthicalML/xai
• Tasks: { classification }
• Input data: { tabular }
• Licence: MIT
• Languages: { Python }
• Frameworks: { pandas }

This library is a small toolbox that offers some convenience functions for quickly visualizing imbalances in the data set, computing (permutation) feature importances and metrics such as the ROC-curve. A function to balance the data is offered through basic up- or downsampling, but other than this no fairness criteria are defined.

Compared to other libraries the XAI Toolbox is very basic and currently the roadmap (which is not updated since 2019) does not include any major improvements. The library is in early alpha and does not seem to be actively maintained anymore.