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 / 858 papers shown

Title
Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization Laurent Risser Alberto González Sanz Quentin Vincenot Jean-Michel Loubes 95 21 0 15 Aug 2019
With Malice Towards None: Assessing Uncertainty via Equalized Coverage Yaniv Romano Rina Foygel Barber C. Sabatti Emmanuel J. Candès UQCV 158 74 0 15 Aug 2019
Fair quantile regression Dana Yang John D. Lafferty D. Pollard 43 6 0 19 Jul 2019
A Causal Bayesian Networks Viewpoint on Fairness Silvia Chiappa William S. Isaac FaML 84 63 0 15 Jul 2019
Counterfactual Reasoning for Fair Clinical Risk Prediction Stephen Pfohl Tony Duan D. Ding N. Shah OOD CML 71 58 0 14 Jul 2019
Fair Kernel Regression via Fair Feature Embedding in Kernel Space Austin Okray Hui Hu Chao Lan FaML 80 4 0 04 Jul 2019
Operationalizing Individual Fairness with Pairwise Fair Representations Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 112 102 0 02 Jul 2019
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding Niki Kilbertus Philip J. Ball Matt J. Kusner Adrian Weller Ricardo M. A. Silva 93 58 0 01 Jul 2019
Training individually fair ML models with Sensitive Subspace Robustness Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 88 120 0 28 Jun 2019
Learning Fair Representations for Kernel Models Zilong Tan Samuel Yeom Matt Fredrikson Ameet Talwalkar FaML 110 25 0 27 Jun 2019
Fairness criteria through the lens of directed acyclic graphical models Benjamin R. Baer Daniel E. Gilbert M. Wells FaML 72 6 0 26 Jun 2019
Age and gender bias in pedestrian detection algorithms Martim Brandao 75 46 0 25 Jun 2019
FlipTest: Fairness Testing via Optimal Transport Emily Black Samuel Yeom Matt Fredrikson 162 96 0 21 Jun 2019
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices Manish Raghavan Solon Barocas Jon M. Kleinberg K. Levy MLAU FaML 94 531 0 21 Jun 2019
Inherent Tradeoffs in Learning Fair Representations Han Zhao Geoffrey J. Gordon FaML 72 218 0 19 Jun 2019
The Price of Local Fairness in Multistage Selection V. Emelianov G. Arvanitakis Nicolas Gast Krishna P. Gummadi Patrick Loiseau 62 18 0 15 Jun 2019
Principled Frameworks for Evaluating Ethics in NLP Systems Shrimai Prabhumoye Elijah Mayfield A. Black 52 7 0 14 Jun 2019
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 74 363 0 11 Jun 2019
ProPublica's COMPAS Data Revisited M. Barenstein FaML 54 51 0 11 Jun 2019
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns YooJung Choi G. Farnadi Behrouz Babaki Guy Van den Broeck FaML 80 27 0 10 Jun 2019
Does Object Recognition Work for Everyone? Terrance Devries Ishan Misra Changhan Wang Laurens van der Maaten 111 265 0 06 Jun 2019
Near Neighbor: Who is the Fairest of Them All? Sariel Har-Peled S. Mahabadi 77 22 0 06 Jun 2019
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds Nathan Kallus Angela Zhou 76 11 0 04 Jun 2019
Disparate Vulnerability to Membership Inference Attacks B. Kulynych Mohammad Yaghini Giovanni Cherubin Michael Veale Carmela Troncoso 130 41 0 02 Jun 2019
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 95 158 0 01 Jun 2019
Metric Learning for Individual Fairness Christina Ilvento FaML 111 97 0 01 Jun 2019
Optimized Score Transformation for Consistent Fair Classification Dennis L. Wei Karthikeyan N. Ramamurthy Flavio du Pin Calmon 51 16 0 31 May 2019
Fair Regression: Quantitative Definitions and Reduction-based Algorithms Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 82 248 0 30 May 2019
Efficient candidate screening under multiple tests and implications for fairness Lee Cohen Zachary Chase Lipton Yishay Mansour 68 32 0 27 May 2019
Achieving Fairness in Stochastic Multi-armed Bandit Problem Vishakha Patil Ganesh Ghalme V. Nair Y. Narahari FaML 72 5 0 27 May 2019
Equal Opportunity and Affirmative Action via Counterfactual Predictions Yixin Wang Dhanya Sridhar David M. Blei FaML 70 20 0 26 May 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 113 259 0 25 May 2019
Average Individual Fairness: Algorithms, Generalization and Experiments Michael Kearns Aaron Roth Saeed Sharifi-Malvajerdi FaML FedML 123 87 0 25 May 2019
Contrastive Fairness in Machine Learning Tapabrata (Rohan) Chakraborty A. Patra Alison Noble FaML 109 8 0 17 May 2019
Fairness in Machine Learning with Tractable Models Michael Varley Vaishak Belle FaML 46 10 0 16 May 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 90 92 0 01 May 2019
Learning Fair Representations via an Adversarial Framework Rui Feng Yang Yang Yuehan Lyu Chenhao Tan Yizhou Sun Chunping Wang FaML 83 56 0 30 Apr 2019
Tracking and Improving Information in the Service of Fairness Sumegha Garg Michael P. Kim Omer Reingold FaML 43 13 0 22 Apr 2019
Predicting Brazilian court decisions André Lage-Freitas H. Allende-Cid O. Santana Lívia de Oliveira-Lage ELM 98 40 0 20 Apr 2019
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning Ángel Alexander Cabrera Will Epperson Fred Hohman Minsuk Kahng Jamie Morgenstern Duen Horng Chau FaML 128 187 0 10 Apr 2019
Attraction-Repulsion clustering with applications to fairness E. del Barrio Hristo Inouzhe Jean-Michel Loubes FaML 55 2 0 10 Apr 2019
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes Alexey Romanov Maria De-Arteaga Hanna M. Wallach J. Chayes C. Borgs Alexandra Chouldechova S. Geyik K. Kenthapadi Anna Rumshisky Adam Tauman Kalai 75 81 0 10 Apr 2019
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality A. Khademi Sanghack Lee David Foley Vasant Honavar FaML 76 96 0 27 Mar 2019
The invisible power of fairness. How machine learning shapes democracy E. Beretta A. Santangelo Bruno Lepri A. Vetrò Juan Carlos De Martin FaML 44 7 0 22 Mar 2019
Multi-Differential Fairness Auditor for Black Box Classifiers Xavier Gitiaux Huzefa Rangwala FaML 60 7 0 18 Mar 2019
Fairness for Robust Log Loss Classification Ashkan Rezaei Rizal Fathony Omid Memarrast Brian Ziebart FaML 60 8 0 10 Mar 2019
Capuchin: Causal Database Repair for Algorithmic Fairness Babak Salimi Luke Rodriguez Bill Howe Dan Suciu FaML CML 166 30 0 21 Feb 2019
Predictive Inequity in Object Detection Benjamin Wilson Judy Hoffman Jamie Morgenstern 89 220 0 21 Feb 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric Nathan Kallus Angela Zhou 102 76 0 15 Feb 2019
Scalable Fair Clustering A. Backurs Piotr Indyk Krzysztof Onak B. Schieber A. Vakilian Tal Wagner 115 202 0 10 Feb 2019