AI Fairness 360: An Extensible Toolkit for Detecting and Mitigating Algorithmic Bias

IBM Journal of Research and Development, pp. 4:1-4:15, 2019.

Cited by: 13|Views88
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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...More

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