AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias

Volume: 63, Issue: 4/5, Pages: 4:1 - 4:15
Published: Jul 1, 2019
Abstract
Fairness is an increasingly important concern as machine learning models are used to support decision making in high-stakes applications such as mortgage lending, hiring, and prison sentencing. This article introduces a new open-source Python toolkit for algorithmic fairness, AI Fairness 360 (AIF360), released under an Apache v2.0 license (
Paper Details
Title
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias
Published Date
Jul 1, 2019
Volume
63
Issue
4/5
Pages
4:1 - 4:15
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