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

24 October 2016

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

16 / 866 papers shown

Title
The impossibility of "fairness": a generalized impossibility result for decisions Thomas Miconi 75 27 0 05 Jul 2017
Fairer and more accurate, but for whom? Alexandra Chouldechova M. G'Sell 112 63 0 30 Jun 2017
Penalizing Unfairness in Binary Classification Yahav Bechavod Katrina Ligett FaML 138 69 0 30 Jun 2017
From Parity to Preference-based Notions of Fairness in Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi Adrian Weller FaML 131 208 0 30 Jun 2017
On Fairness, Diversity and Randomness in Algorithmic Decision Making Nina Grgic-Hlaca Muhammad Bilal Zafar Krishna P. Gummadi Adrian Weller FaML 84 42 0 30 Jun 2017
Avoiding Discrimination through Causal Reasoning Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf FaML CML 237 596 0 08 Jun 2017
A Convex Framework for Fair Regression R. Berk Hoda Heidari S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FaML 164 350 0 07 Jun 2017
Bayesian fairness Christos Dimitrakakis Yang Liu David C. Parkes Goran Radanović FaML 62 0 0 31 May 2017
Optimized Data Pre-Processing for Discrimination Prevention Flavio du Pin Calmon Dennis L. Wei Karthikeyan N. Ramamurthy Kush R. Varshney 95 60 0 11 Apr 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 176 1,017 0 27 Mar 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 299 1,625 0 20 Mar 2017
Identifying Significant Predictive Bias in Classifiers Zhe Zhang Daniel B. Neill 105 64 0 24 Nov 2016
Fair Algorithms for Infinite and Contextual Bandits Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FedML FaML 125 56 0 29 Oct 2016
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 314 1,234 0 26 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 460 1,814 0 19 Sep 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 324 3,835 0 10 Jun 2016