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Past literature has been effective in demonstrating ideological gaps in machine learning (ML) fairness definitions when considering their use in complex socio-technical systems.
Griggs v. Duke Power Co., 401 U.S. 424 (1971)
1971
Earlier work this paper cites.
Regents of Univ. of California v. Bakke, 438 U.S. 265 (1978)
1978
Earlier work this paper cites.
Disparate impact under title vii: an objective theory of discrimination
George Rutherglen · 1987
Earlier work this paper cites.
Demarginalizing the intersection of race and sex: A black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics
Kimberle Crenshaw · 1989
Earlier work this paper cites.
Fair housing act guidance memorandum of understanding of the treasury, hud, and justice departments
Robert C Jacobs and Ruth S Sparrow · 2000
Earlier work this paper cites.
Grutter v. Bollinger, 539 U.S. 306 (2003)
2003
Earlier work this paper cites.
The american civil rights tradition: Anticlassification or antisubordination
Jack M Balkin and Reva B Siegel · 2003
Earlier work this paper cites.
Ricci v. DeStefano, 557 U.S. 557 (2009)
2009
Earlier work this paper cites.
Ricci v. DeStefano, 557 U.S. 557 (2009) (Scalia, J., concurring)
2009
Earlier work this paper cites.
Fairness through awareness
Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel · 2012
Earlier work this paper cites.
Fisher v. Univ. of TX at Austin, 570 U.S. __ (2013)
2013
Earlier work this paper cites.
The scored society: Due process for automated predictions
Danielle Keats Citron and Frank Pasquale · 2014
Earlier work this paper cites.
Texas Dept. of Housing and Community Affairs v. Inclusive Communities Project, Inc., 576 U.S. __ (2015)
2015
Cited alongside, same era.
Certifying and removing disparate impact
Michael Feldman, Sorelle A Friedler, John Moeller, Carlos Scheidegger, and Suresh Venkatasubramanian · 2015
Cited alongside, same era.
Of visible race-consciousness and institutional role: Equal protection and disparate impact after ricci and inclusive communities
Richard Primus · 2015
Cited alongside, same era.
Facebook lets advertisers exclude users by race, 2016
Julia Angwin and Terry Parris Jr · 2016
Cited alongside, same era.
Big data’s disparate impact
Solon Barocas and Andrew D Selbst · 2016
Cited alongside, same era.
The measure and mismeasure of fairness: A critical review of fair machine learning
Sam Corbett-Davies and Sharad Goel · 2018
Later among the works it cites.
Beyond distributive fairness in algorithmic decision making: Feature selection for procedurally fair learning
Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P Gummadi, and Adrian Weller · 2018
Later among the works it cites.
Differentially private fair learning
Matthew Jagielski, Michael Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, and Jonathan Ullman · 2018
Later among the works it cites.
Does mitigating ml’s impact disparity require treatment disparity?
Zachary Lipton, Julian McAuley, and Alexandra Chouldechova · 2018
Later among the works it cites.
Hud’s implementation of the fair housing act’s disparate impact standard, 2019
2019
Closest in time.
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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, Nati Srebro, et al · 2016
Cited alongside, same era.
Data-driven discrimination at work
Pauline T Kim · 2016
Cited alongside, same era.
Accountable algorithms
Joshua A Kroll, Solon Barocas, Edward W Felten, Joel R Reidenberg, David G Robinson, and Harlan Yu · 2016
Cited alongside, same era.
The symmetry principle
Bradley A Areheart · 2017
Cited alongside, same era.
Counterfactual fairness
Matt J Kusner, Joshua Loftus, Chris Russell, and Ricardo Silva · 2017
Cited alongside, same era.
Gender shades: Intersectional accuracy disparities in commercial gender classification
Joy Buolamwini and Timnit Gebru · 2018
Cited alongside, same era.
Facebook won’t let employers, landlords or lenders discriminate in ads anymore, 2019
Jack Gillum and Ariana Tobin · 2019
Closest in time.
Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse
Anna Lauren Hoffmann · 2019
Closest in time.
Interpreting social respect: A normative lens for ml models
Ben Hutchinson, KJ Pittl, and Margaret Mitchell · 2019
Closest in time.
Eliciting and enforcing subjective individual fairness
Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, Logan Stapleton, and Zhiwei Steven Wu · 2019
Closest in time.
Downstream effects of affirmative action
Sampath Kannan, Aaron Roth, and Juba Ziani · 2019
Closest in time.
Fairness and abstraction in sociotechnical systems
Andrew D Selbst, Danah Boyd, Sorelle A Friedler, Suresh Venkatasubramanian, and Janet Vertesi · 2019
Closest in time.