FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems

Python Submitted 12 September 2019Published 19 May 2020
Review

Editor: @arokem (all papers)
Reviewers: @bernease (all reviews), @osolari (all reviews)

Authors

Kacper Sokol (0000-0002-9869-5896), Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raul Santos-Rodriguez (0000-0001-9576-3905), Peter Flach (0000-0001-6857-5810)

Citation

Sokol et al., (2020). FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. Journal of Open Source Software, 5(49), 1904, https://doi.org/10.21105/joss.01904

Copy citation string · Copy BibTeX  
Tags

Fairness Accountability Transparency Artificial Intelligence Machine Learning Software Python Toolbox

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066