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We study notions of fairness in decision-making systems when individuals have diverse preferences over the possible outcomes of the decisions.
Discrimination through optimization: How Facebook’s ad delivery can lead to skewed outcomes
Muhammad Ali, Piotr Sapiezynski, Miranda Bogen, Aleksandra Korolova, Alan Mislove, and Aaron Rieke · 1904
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Resource allocation and the public sector
Duncan K Foley · 1967
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Rules for ordering uncertain prospects
Josef Hadar and William R Russell · 1969
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Efficiency, equity and envy
Hal Varian · 1974
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Optimal rules for ordering uncertain prospects
Vijay S Bawa · 1975
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Learning an agent’s utility function by observing behavior
Urszula Chajewska, Daphne Koller, and Dirk Ormoneit · 2001
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Theory of Games and Economic Behavior (Commemorative Edition)
John Von Neumann and Oskar Morgenstern · 2007
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Fairness through awareness
Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel · 2012
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Automated experiments on ad privacy settings
Amit Datta, Michael Carl Tschantz, and Anupam Datta · 2015
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Two concepts of discrimination
Deborah Hellman · 2016
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Dozens of companies are using facebook to exclude older workers from job ads
Julia Angwin, Noam Scheiber, and Ariana Tobin · 2017
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Facebook (still) letting housing advertisers exclude users by race
Julia Angwin, Ariana Tobin, and Madeleine Varner · 2017
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Weapons of math destruction: How big data increases inequality and threatens democracy
Cathy O’Neil · 2017
Cited alongside, same era.
From parity to preference-based notions of fairness in classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Rodriguez, Krishna Gummadi, and Adrian Weller · 2017
Cited alongside, same era.
Maria-Florina Balcan, Travis Dick, Ritesh Noothigattu, and Ariel D Procaccia · 2018
Cited alongside, same era.
Amazon scraps secret AI recruiting tool that showed bias against women
Jeffrey Dastin · 2018
Cited alongside, same era.
Online learning with an unknown fairness metric
Stephen Gillen, Christopher Jung, Michael Kearns, and Aaron Roth · 2018
Cited alongside, same era.
Multicalibration: Calibration for the (computationally-identifiable) masses
All the ways hiring algorithms can introduce bias
Miranda Bogen · 2019
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Facebook engages in housing discrimination with its ad practices, U.S. says
Katie Benner, Glenn Thrush, and Mike Isaac · 2019
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Individual fairness in sponsored search auctions
Shuchi Chawla, Christina Ilvento, and Meena Jagadeesan · 2019
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Fairness under composition
Cynthia Dwork and Christina Ilvento · 2019
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Measuring algorithmic fairness
Deborah Hellman · 2019
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Eliciting and enforcing subjective individual fairness
Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, Logan Stapleton, and Zhiwei Steven Wu · 2019
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Ursula Hébert-Johnson, Michael P Kim, Omer Reingold, and Guy N Rothblum · 2018
Cited alongside, same era.
Preventing fairness gerrymandering: Auditing and learning for subgroup fairness
Michael Kearns, Seth Neel, Aaron Roth, and Zhiwei Steven Wu · 2018
Cited alongside, same era.
Fairness through computationally-bounded awareness
Michael P. Kim, Omer Reingold, and Guy N. Rothblum · 2018
Cited alongside, same era.
Algorithmic bias? an empirical study into apparent gender-based discrimination in the display of stem career ads
Anja Lambrecht and Catherine E Tucker · 2018
Cited alongside, same era.
Probably approximately metric-fair learning
Guy Rothblum and Gal Yona · 2018
Cited alongside, same era.
Facebook is letting job advertisers target only men
Ariana Tobin and Jeremy B. Merrill · 2018
Cited alongside, same era.
Upturn amicus brief in Onuoha v. Facebook
Upturn · 2018
Cited alongside, same era.
Average individual fairness: Algorithms, generalization and experiments
Michael Kearns, Aaron Roth, and Saeed Sharifi-Malvajerdi · 2019
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Facebook’s civil rights audit – progress report
Laura Murphy · 2019
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Doing more to protect against discrimination in housing, employment and credit advertising
Sheryl Sandberg · 2019
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HUD sues Facebook over housing discrimination and says the company’s algorithms have made the problem worse
Ariana Tobin · 2019
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The Facts About Facebook
Mark Zuckerberg · 2019
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