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The objective of this article is to introduce a fairness interpretability framework for measuring and explaining the bias in classification and regression models at the level of a distribution.
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R. Zemel, Y. Wu, K. Swersky, T. Pitassi, C. Dwork, · 2013
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M. Feldman, S.A. Friedler, J. Moeller, C. Scheidegger, and S. Venkatasubramanian · 2015
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( f , Γ ) (f,\Gamma) -Divergences: Interpolating between
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A United States Fair Lending Perspective on Machine Learning
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