Aequitas: A Bias and Fairness Audit Toolkit

2 code implementations • 14 Nov 2018 • Pedro Saleiro, Benedict Kuester, Loren Hinkson, Jesse London, Abby Stevens, Ari Anisfeld, Kit T. Rodolfa, Rayid Ghani

Recent work has raised concerns on the risk of unintended bias in AI systems being used nowadays that can affect individuals unfairly based on race, gender or religion, among other possible characteristics.

BIG-bench Machine Learning Decision Making +1