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

Kacper Sokol; Alexander Hepburn; Rafael Poyiadzi; Matthew Clifford; Raul Santos-Rodriguez; Peter Flach

doi:10.5281/zenodo.7047741

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

Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raul Santos-Rodriguez, Peter Flach

Research output: Other contribution

Abstract

FAT Forensics is a Python toolbox for evaluating fairness, accountability and transparency of predictive systems. It is built on top of SciPy and NumPy, and is distributed under the 3-Clause BSD license (new BSD).

Original language	Undefined/Unknown
DOIs	https://doi.org/10.5281/zenodo.7047741
Publication status	Published - 19 May 2020

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Cite this

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

abstract = "FAT Forensics is a Python toolbox for evaluating fairness, accountability and transparency of predictive systems. It is built on top of SciPy and NumPy, and is distributed under the 3-Clause BSD license (new BSD).",

author = "Kacper Sokol and Alexander Hepburn and Rafael Poyiadzi and Matthew Clifford and Raul Santos-Rodriguez and Peter Flach",

year = "2020",

month = may,

day = "19",

doi = "10.5281/zenodo.7047741",

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AU - Poyiadzi, Rafael

AU - Clifford, Matthew

AU - Santos-Rodriguez, Raul

AU - Flach, Peter

PY - 2020/5/19

Y1 - 2020/5/19

N2 - FAT Forensics is a Python toolbox for evaluating fairness, accountability and transparency of predictive systems. It is built on top of SciPy and NumPy, and is distributed under the 3-Clause BSD license (new BSD).

AB - FAT Forensics is a Python toolbox for evaluating fairness, accountability and transparency of predictive systems. It is built on top of SciPy and NumPy, and is distributed under the 3-Clause BSD license (new BSD).

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DO - 10.5281/zenodo.7047741

M3 - Other contribution

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