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When it is ethical and legal to use a sensitive attribute (such as gender or race) in machine learning systems, the question remains how to do so.
Weakly learning dnf and characterizing statistical query learning using fourier analysis
Avrim Blum, Merrick Furst, Jeffrey Jackson, Michael Kearns, Yishay Mansour, and Steven Rudich · 1994
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The relationship between precision-recall and roc curves
Jesse Davis and Mark Goadrich · 2006
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Discrimination-aware data mining
Dino Pedreshi, Salvatore Ruggieri, and Franco Turini · 2008
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The role of race in forecasts of violent crime
Richard Berk · 2009
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Fairness through awareness
Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel · 2011
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Fairness-aware learning through regularization approach
Toshihiro Kamishima, Shotaro Akaho, and Jun Sakuma · 2011
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Handling conditional discrimination
Indre Zliobaite, Faisal Kamiran, and Toon Calders · 2011
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Learning fair representations
R. Zemel, Y. Wu, K. Swersky, T. Pitassi, and C. Dwork · 2013
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Certifying and removing disparate impact
Michael Feldman, Sorelle A. Friedler, John Moeller, Carlos Scheidegger, and Suresh Venkatasubramanian · 2015
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Machine bias: There’s software used across the country to predict future criminals. and it’s biased against blacks
Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner · 2016
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Causal inference and the data-fusion problem
Elias Bareinboim and Judea Pearl · 2016
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Causal inference in statistics: a primer
Judea Pearl, Madelyn Glymour, and Nicholas P Jewell · 2016
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Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova · 2017
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Redesigning the israeli psychology master’s match
Avinatan Hassidim, Assaf Romm, and Ran I. Shorrer · 2017
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Avoiding discrimination through causal reasoning
Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, and Bernhard Schölkopf · 2017
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Counterfactual Fairness
M. J. Kusner, J. R. Loftus, C. Russell, and R. Silva · 2017
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Sorelle A Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian · 2016
Cited alongside, same era.
Equality of opportunity in supervised learning
Moritz Hardt, Eric Price, and Nathan Srebro · 2016
Cited alongside, same era.
Fairness in learning: Classic and contextual bandits
Matthew Joseph, Michael Kearns, Jamie H Morgenstern, and Aaron Roth · 2016
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Matt J Kusner, Joshua R Loftus, Chris Russell, and Ricardo Silva · 2017
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Razieh Nabi and Ilya Shpitser · 2017
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