Skip to content

ReAILe/bias-explainer

Repository files navigation

License: MIT

Fairness Influence Functions

A Python package for explaining bias in machine learning models based on global sensitivity analysis. The repository is based on our FAccT-2023 paper.

Install

pip install fairxplainer

Other python libraries can be installed by running pip install -r requirements.txt in the root directory.

Usage

Please refer to the demonstrative notebooks from this folder.

Citations

Please cite our paper.

@inproceedings{ghosh2023how,
author={Ghosh, Bishwamittra and Basu, Debabrota and Meel, Kuldeep S.},
title={“How Biased are Your Features?”: Computing Fairness Influence Functions with Global Sensitivity Analysis},
booktitle={FAccT},
month={6},
year={2023},
}

Contact

Bishwamittra Ghosh (bghosh@u.nus.edu)

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Packages

No packages published