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"

34 / 884 papers shown

Title
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 262 365 0 22 Feb 2018
Manipulating and Measuring Model Interpretability Forough Poursabzi-Sangdeh D. Goldstein Jake M. Hofman Jennifer Wortman Vaughan Hanna M. Wallach 238 746 0 21 Feb 2018
Online Learning with an Unknown Fairness Metric Stephen Gillen Christopher Jung Michael Kearns Aaron Roth FaML 180 148 0 20 Feb 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 742 717 0 17 Feb 2018
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 237 684 0 13 Feb 2018
Convex Formulations for Fair Principal Component Analysis Matt Olfat A. Aswani FaML 160 53 0 11 Feb 2018
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making Michael Veale Max Van Kleek Reuben Binns 133 443 0 03 Feb 2018
Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport Meike Zehlike P. Hacker Emil Wiedemann 98 19 0 21 Dec 2017
Paradoxes in Fair Computer-Aided Decision Making Andrew Morgan R. Pass FaML 92 9 0 29 Nov 2017
Calibration for the (Computationally-Identifiable) Masses Úrsula Hébert-Johnson Michael P. Kim Omer Reingold G. Rothblum FaML 141 91 0 22 Nov 2017
Does mitigating ML's impact disparity require treatment disparity? Zachary Chase Lipton Alexandra Chouldechova Julian McAuley 123 16 0 19 Nov 2017
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer David Madras T. Pitassi R. Zemel FaML 305 250 0 17 Nov 2017
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 579 833 0 14 Nov 2017
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation S. Tan R. Caruana Giles Hooker Yin Lou MLAU 279 194 0 17 Oct 2017
Fair Kernel Learning Adrián Pérez-Suay Valero Laparra Gonzalo Mateo-García Jordi Munoz-Marí L. Gómez-Chova Gustau Camps-Valls FaML 114 89 0 16 Oct 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 329 937 0 06 Sep 2017
Decoupled classifiers for fair and efficient machine learning Cynthia Dwork Nicole Immorlica Adam Tauman Kalai Max D. M. Leiserson FaML 106 43 0 20 Jul 2017
Calibrated Fairness in Bandits Zehua Wang Goran Radanović Christos Dimitrakakis Debmalya Mandal David C. Parkes FedML FaML 101 93 0 06 Jul 2017
The impossibility of "fairness": a generalized impossibility result for decisions Thomas Miconi 87 31 0 05 Jul 2017
Fairer and more accurate, but for whom? Alexandra Chouldechova M. G'Sell 156 63 0 30 Jun 2017
Penalizing Unfairness in Binary Classification Yahav Bechavod Katrina Ligett FaML 215 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 241 216 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 100 42 0 30 Jun 2017
Avoiding Discrimination through Causal ReasoningNeural Information Processing Systems (NeurIPS), 2017 Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf FaML CML 281 612 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 188 354 0 07 Jun 2017
Bayesian fairness Christos Dimitrakakis Yang Liu David C. Parkes Goran Radanović FaML 78 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 111 62 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 225 1,051 0 27 Mar 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 571 1,708 0 20 Mar 2017
Identifying Significant Predictive Bias in Classifiers Zhe Zhang Daniel B. Neill 129 66 0 24 Nov 2016
Fair Algorithms for Infinite and Contextual Bandits Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FedML FaML 186 57 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 378 1,256 0 26 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 556 1,887 0 19 Sep 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 551 3,971 0 10 Jun 2016