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Recent literature on computational notions of fairness has been broadly divided into two distinct camps, supporting interventions that address either individual-based or group-based fairness.
The statistical theory of racism and sexism
Edmund S Phelps · 1972
Earlier work this paper cites.
Will affirmative-action policies eliminate negative stereotypes?
Stephen Coate and Glenn C Loury · 1993
Earlier work this paper cites.
What has economics to say about racial discrimination?
Kenneth J Arrow · 1998
Earlier work this paper cites.
The dynamics of collective reputation
Jonathan Levin et al · 2009
Earlier work this paper cites.
Fairness-aware learning through regularization approach
Toshihiro Kamishima, Shotaro Akaho, and Jun Sakuma · 2011
Cited alongside, same era.
Fairness through awareness
Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel · 2012
Cited alongside, same era.
Learning fair representations
Rich Zemel, Yu Wu, Kevin Swersky, Toni Pitassi, and Cynthia Dwork · 2013
Cited alongside, same era.
Collective reputation and the dynamics of statistical discrimination
Glenn C Loury and Young-Chul Kim · 2014
Cited alongside, same era.
Group inequality
Samuel Bowles, Glenn C Loury, and Rajiv Sethi · 2014
Later among the works it cites.
Certifying and removing disparate impact
Michael Feldman, Sorelle A Friedler, John Moeller, Carlos Scheidegger, and Suresh Venkatasubramanian · 2015
Later among the works it cites.
On the (im) possibility of fairness
Sorelle A Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian · 2016
Later among the works it cites.
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