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"

50 / 884 papers shown

Title
Crowdsourcing with Fairness, Diversity and Budget Constraints Naman Goel Boi Faltings FaML 149 21 0 31 Oct 2018
AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing Bettina Berendt 98 83 0 30 Oct 2018
On preserving non-discrimination when combining expert advice Avrim Blum Suriya Gunasekar Thodoris Lykouris Nathan Srebro FaML 104 30 0 28 Oct 2018
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 288 432 0 20 Oct 2018
Taking Advantage of Multitask Learning for Fair Classification L. Oneto Michele Donini Amon Elders Massimiliano Pontil FaML 126 63 0 19 Oct 2018
Hunting for Discriminatory Proxies in Linear Regression Models Samuel Yeom Anupam Datta Matt Fredrikson 195 19 0 16 Oct 2018
Discovering Fair Representations in the Data Domain Novi Quadrianto V. Sharmanska Oliver Thomas 112 3 0 15 Oct 2018
Tuning Fairness by Balancing Target Labels T. Kehrenberg Zexun Chen Novi Quadrianto 227 4 0 12 Oct 2018
Model Cards for Model Reporting Margaret Mitchell Simone Wu Andrew Zaldivar Parker Barnes Lucy Vasserman Ben Hutchinson Elena Spitzer Inioluwa Deborah Raji Timnit Gebru 4.7K 2,179 0 05 Oct 2018
From Soft Classifiers to Hard Decisions: How fair can we be? R. Canetti A. Cohen Nishanth Dikkala Govind Ramnarayan Sarah Scheffler Adam D. Smith FaML 188 59 0 03 Oct 2018
Can everyday AI be ethical. Fairness of Machine Learning Algorithms Philippe C. Besse C. Castets-Renard Aurélien Garivier Jean-Michel Loubes FaML 60 6 0 03 Oct 2018
Evaluating Fairness Metrics in the Presence of Dataset Bias J. Hinnefeld Peter Cooman Nat Mammo Rupert Deese FaML 90 39 0 24 Sep 2018
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk Stephen Pfohl Ben J. Marafino Adrien Coulet F. Rodriguez L. Palaniappan N. Shah 127 74 0 12 Sep 2018
Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability Jon M. Kleinberg S. Mullainathan 145 74 0 12 Sep 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data David Madras Elliot Creager T. Pitassi R. Zemel FaML 143 140 0 07 Sep 2018
The implicit fairness criterion of unconstrained learning Lydia T. Liu Max Simchowitz Moritz Hardt FedML FaML 82 1 0 29 Aug 2018
Investigating Human + Machine Complementarity for Recidivism Predictions S. Tan Julius Adebayo K. Quinn Ece Kamar FaML 149 55 0 28 Aug 2018
Downstream Effects of Affirmative Action Sampath Kannan Aaron Roth Juba Ziani 115 88 0 27 Aug 2018
Avoiding Disparity Amplification under Different Worldviews Samuel Yeom Michael Carl Tschantz 217 21 0 26 Aug 2018
The Social Cost of Strategic Classification S. Milli John Miller Anca Dragan Moritz Hardt 166 193 0 25 Aug 2018
An Empirical Study of Rich Subgroup Fairness for Machine Learning Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 203 213 0 24 Aug 2018
Approximation Trees: Statistical Stability in Model Distillation Yichen Zhou Zhengze Zhou Giles Hooker 227 23 0 22 Aug 2018
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together Anupam Datta S. Sen Michael Carl Tschantz 121 5 0 06 Aug 2018
A Central Limit Theorem for $L_p$ transportation cost with applications to Fairness Assessment in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes 66 2 0 18 Jul 2018
Confidence Intervals for Testing Disparate Impact in Fair Learning Philippe C. Besse E. del Barrio Paula Gordaliza Jean-Michel Loubes CML 120 21 0 17 Jul 2018
Welfare and Distributional Impacts of Fair Classification Lily Hu Yiling Chen FaML 111 25 0 03 Jul 2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality IndicesKnowledge Discovery and Data Mining (KDD), 2018 Till Speicher Hoda Heidari Nina Grgic-Hlaca Krishna P. Gummadi Adish Singla Adrian Weller Muhammad Bilal Zafar FaML 248 278 0 02 Jul 2018
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics Roel Dobbe Sarah Dean T. Gilbert Nitin Kohli 139 44 0 02 Jul 2018
Gradient Reversal Against DiscriminationInternational Conference on Data Science and Advanced Analytics (DSAA), 2018 Edward Raff Jared Sylvester 102 43 0 01 Jul 2018
Equalizing Financial Impact in Supervised Learning Govind Ramnarayan FaML 39 2 0 24 Jun 2018
Fairness Under Composition Cynthia Dwork Christina Ilvento FaML 178 131 0 15 Jun 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 392 334 0 15 Jun 2018
What About Applied Fairness? Jared Sylvester Edward Raff FaML 155 11 0 13 Jun 2018
Obtaining fairness using optimal transport theory E. del Barrio Fabrice Gamboa Paula Gordaliza Jean-Michel Loubes FaML 303 199 0 08 Jun 2018
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour Emilia Gómez Carlos Castillo V. Charisi V. Dahl G. Deco ... Núria Sebastián Xavier Serra Joan Serrà Songül Tolan Karina Vold 92 12 0 07 Jun 2018
POTs: Protective Optimization Technologies B. Kulynych R. Overdorf Carmela Troncoso Seda F. Gürses 268 97 0 07 Jun 2018
Removing Algorithmic Discrimination (With Minimal Individual Error) El-Mahdi El-Mhamdi R. Guerraoui L. Hoang Alexandre Maurer 74 2 0 07 Jun 2018
Causal Interventions for Fairness Matt J. Kusner Chris Russell Joshua R. Loftus Ricardo M. A. Silva FaML 174 15 0 06 Jun 2018
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 123 180 0 04 Jun 2018
The Externalities of Exploration and How Data Diversity Helps Exploitation Manish Raghavan Aleksandrs Slivkins Jennifer Wortman Vaughan Zhiwei Steven Wu 280 54 0 01 Jun 2018
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification Michael P. Kim Amirata Ghorbani James Zou MLAU 425 366 0 31 May 2018
Why Is My Classifier Discriminatory? Irene Y. Chen Fredrik D. Johansson David Sontag FaML 197 422 0 30 May 2018
Causal Reasoning for Algorithmic Fairness Joshua R. Loftus Chris Russell Matt J. Kusner Ricardo M. A. Silva FaML CML 156 137 0 15 May 2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems S. Kiritchenko Saif M. Mohammad FaML 186 479 0 11 May 2018
Unleashing Linear Optimizers for Group-Fair Learning and Optimization Daniel Alabi Nicole Immorlica Adam Tauman Kalai FedML FaML 100 28 0 11 Apr 2018
Delayed Impact of Fair Machine LearningInternational Conference on Machine Learning (ICML), 2018 Lydia T. Liu Sarah Dean Esther Rolf Max Simchowitz Moritz Hardt FaML 286 498 0 12 Mar 2018
Probably Approximately Metric-Fair Learning G. Rothblum G. Yona FaML FedML 123 89 0 08 Mar 2018
Fairness Through Computationally-Bounded Awareness Michael P. Kim Omer Reingold G. Rothblum FaML 173 151 0 08 Mar 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 523 1,175 0 06 Mar 2018
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk PredictionThe Web Conference (WWW), 2018 Nina Grgic-Hlaca Elissa M. Redmiles Krishna P. Gummadi Adrian Weller FaML 104 237 0 26 Feb 2018