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Evaluating Fairness Metrics in the Presence of Dataset Bias

Evaluating Fairness Metrics in the Presence of Dataset Bias

24 September 2018
J. Hinnefeld
Peter Cooman
Nat Mammo
Rupert Deese
    FaML
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Papers citing "Evaluating Fairness Metrics in the Presence of Dataset Bias"

7 / 7 papers shown
Title
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
297
2,110
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
222
4,307
0
07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
114
1,769
0
19 Sep 2016
Fairness Constraints: Mechanisms for Fair Classification
Fairness Constraints: Mechanisms for Fair Classification
Muhammad Bilal Zafar
Isabel Valera
Manuel Gomez Rodriguez
Krishna P. Gummadi
FaML
128
49
0
19 Jul 2015
On the relation between accuracy and fairness in binary classification
On the relation between accuracy and fairness in binary classification
Indrė Žliobaitė
FaML
70
196
0
21 May 2015
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
194
1,984
0
11 Dec 2014
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice,
  and Discrimination
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination
Amit Datta
Michael Carl Tschantz
Anupam Datta
72
734
0
27 Aug 2014
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