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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

24 October 2016
Alexandra Chouldechova
    FaML
ArXivPDFHTML

Papers citing "Fair prediction with disparate impact: A study of bias in recidivism prediction instruments"

13 / 213 papers shown
Title
Human Perceptions of Fairness in Algorithmic Decision Making: A Case
  Study of Criminal Risk Prediction
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction
Nina Grgic-Hlaca
Elissa M. Redmiles
Krishna P. Gummadi
Adrian Weller
FaML
6
225
0
26 Feb 2018
Path-Specific Counterfactual Fairness
Path-Specific Counterfactual Fairness
Silvia Chiappa
Thomas P. S. Gillam
CML
FaML
19
334
0
22 Feb 2018
Online Learning with an Unknown Fairness Metric
Online Learning with an Unknown Fairness Metric
Stephen Gillen
Christopher Jung
Michael Kearns
Aaron Roth
FaML
14
143
0
20 Feb 2018
A comparative study of fairness-enhancing interventions in machine
  learning
A comparative study of fairness-enhancing interventions in machine learning
Sorelle A. Friedler
C. Scheidegger
Suresh Venkatasubramanian
Sonam Choudhary
Evan P. Hamilton
Derek Roth
FaML
23
634
0
13 Feb 2018
Fairness and Accountability Design Needs for Algorithmic Support in
  High-Stakes Public Sector Decision-Making
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making
Michael Veale
Max Van Kleek
Reuben Binns
25
409
0
03 Feb 2018
Matching Code and Law: Achieving Algorithmic Fairness with Optimal
  Transport
Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport
Meike Zehlike
P. Hacker
Emil Wiedemann
13
19
0
21 Dec 2017
Paradoxes in Fair Computer-Aided Decision Making
Paradoxes in Fair Computer-Aided Decision Making
Andrew Morgan
R. Pass
FaML
31
9
0
29 Nov 2017
Fair Kernel Learning
Fair Kernel Learning
Adrián Pérez-Suay
Valero Laparra
Gonzalo Mateo-García
Jordi Munoz-Marí
L. Gómez-Chova
Gustau Camps-Valls
FaML
32
83
0
16 Oct 2017
The impossibility of "fairness": a generalized impossibility result for
  decisions
The impossibility of "fairness": a generalized impossibility result for decisions
Thomas Miconi
21
26
0
05 Jul 2017
From Parity to Preference-based Notions of Fairness in Classification
From Parity to Preference-based Notions of Fairness in Classification
Muhammad Bilal Zafar
Isabel Valera
Manuel Gomez Rodriguez
Krishna P. Gummadi
Adrian Weller
FaML
14
205
0
30 Jun 2017
A Convex Framework for Fair Regression
A Convex Framework for Fair Regression
R. Berk
Hoda Heidari
S. Jabbari
Matthew Joseph
Michael Kearns
Jamie Morgenstern
Seth Neel
Aaron Roth
FaML
9
341
0
07 Jun 2017
Fair Algorithms for Infinite and Contextual Bandits
Fair Algorithms for Infinite and Contextual Bandits
Matthew Joseph
Michael Kearns
Jamie Morgenstern
Seth Neel
Aaron Roth
FedML
FaML
20
54
0
29 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
9
1,746
0
19 Sep 2016
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