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
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 205 168 0 01 Jun 2019
Metric Learning for Individual FairnessSymposium on Foundations of Responsible Computing (FRC), 2019 Christina Ilvento FaML 219 101 0 01 Jun 2019
Optimized Score Transformation for Consistent Fair ClassificationJournal of machine learning research (JMLR), 2019 Dennis L. Wei Karthikeyan N. Ramamurthy Flavio du Pin Calmon 144 17 0 31 May 2019
Fair Regression: Quantitative Definitions and Reduction-based AlgorithmsInternational Conference on Machine Learning (ICML), 2019 Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 167 277 0 30 May 2019
Efficient candidate screening under multiple tests and implications for fairnessSymposium on Foundations of Responsible Computing (FRC), 2019 Lee Cohen Zachary Chase Lipton Yishay Mansour 97 34 0 27 May 2019
Achieving Fairness in Stochastic Multi-armed Bandit Problem Vishakha Patil Ganesh Ghalme V. Nair Y. Narahari FaML 129 5 0 27 May 2019
Equal Opportunity and Affirmative Action via Counterfactual Predictions Yixin Wang Dhanya Sridhar David M. Blei FaML 104 21 0 26 May 2019
Compositional Fairness Constraints for Graph EmbeddingsInternational Conference on Machine Learning (ICML), 2019 A. Bose William L. Hamilton FaML 234 278 0 25 May 2019
Average Individual Fairness: Algorithms, Generalization and ExperimentsNeural Information Processing Systems (NeurIPS), 2019 Michael Kearns Aaron Roth Saeed Sharifi-Malvajerdi FaML FedML 179 92 0 25 May 2019
Contrastive Fairness in Machine Learning Tapabrata (Rohan) Chakraborty A. Patra Alison Noble FaML 223 8 0 17 May 2019
Fairness in Machine Learning with Tractable ModelsKnowledge-Based Systems (KBS), 2019 Michael Varley Vaishak Belle FaML 112 12 0 16 May 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 185 99 0 01 May 2019
Learning Fair Representations via an Adversarial Framework Rui Feng Yang Yang Yuehan Lyu Chenhao Tan Luke Huan Chunping Wang FaML 108 58 0 30 Apr 2019
Tracking and Improving Information in the Service of Fairness Sumegha Garg Michael P. Kim Omer Reingold FaML 87 14 0 22 Apr 2019
Predicting Brazilian court decisions André Lage-Freitas H. Allende-Cid O. Santana Lívia de Oliveira-Lage ELM 140 46 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 262 197 0 10 Apr 2019
Attraction-Repulsion clustering with applications to fairness E. del Barrio Hristo Inouzhe Jean-Michel Loubes FaML 199 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 139 82 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 93 99 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 76 7 0 22 Mar 2019
Multi-Differential Fairness Auditor for Black Box ClassifiersInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Xavier Gitiaux Huzefa Rangwala FaML 100 8 0 18 Mar 2019
Fairness for Robust Log Loss Classification Ashkan Rezaei Rizal Fathony Omid Memarrast Brian Ziebart FaML 140 8 0 10 Mar 2019
Capuchin: Causal Database Repair for Algorithmic Fairness Babak Salimi Luke Rodriguez Bill Howe Dan Suciu FaML CML 264 30 0 21 Feb 2019
Predictive Inequity in Object Detection Benjamin Wilson Judy Hoffman Jamie Morgenstern 180 232 0 21 Feb 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric Nathan Kallus Angela Zhou 132 82 0 15 Feb 2019
Scalable Fair ClusteringInternational Conference on Machine Learning (ICML), 2019 A. Backurs Piotr Indyk Krzysztof Onak B. Schieber A. Vakilian Tal Wagner 228 214 0 10 Feb 2019
Fair Decisions Despite Imperfect Predictions Niki Kilbertus Manuel Gomez Rodriguez Bernhard Schölkopf Krikamol Muandet Isabel Valera FaML OffRL 161 5 0 08 Feb 2019
Equal Opportunity in Online Classification with Partial Feedback Yahav Bechavod Katrina Ligett Aaron Roth Bo Waggoner Zhiwei Steven Wu FaML 140 64 0 06 Feb 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual DistributionsInternational Conference on Machine Learning (ICML), 2019 Hao Wang Berk Ustun Flavio du Pin Calmon FaML 227 90 0 29 Jan 2019
Fair Regression for Health Care Spending A. Zink Sherri Rose 149 52 0 28 Jan 2019
Guarantees for Spectral Clustering with Fairness Constraints Matthäus Kleindessner Samira Samadi Pranjal Awasthi Jamie Morgenstern 224 178 0 24 Jan 2019
Identifying and Correcting Label Bias in Machine Learning Heinrich Jiang Ofir Nachum FaML 221 303 0 15 Jan 2019
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges Songül Tolan FaML 75 31 0 15 Jan 2019
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Allison Woodruff Christine Luu Pierre Kreitmann Jonathan Bischof Ed H. Chi FaML 168 162 0 14 Jan 2019
Fair Algorithms for Clustering Suman Kalyan Bera Deeparnab Chakrabarty Nicolas J. Flores Maryam Negahbani FaML FedML 220 258 0 08 Jan 2019
Impossibility and Uncertainty Theorems in AI Value Alignment (or why your AGI should not have a utility function) P. Eckersley 374 52 0 31 Dec 2018
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 431 868 0 13 Dec 2018
Learning Controllable Fair Representations Jiaming Song Pratyusha Kalluri Aditya Grover Shengjia Zhao Stefano Ermon FaML 188 183 0 11 Dec 2018
Individual Fairness in Hindsight Swati Gupta Vijay Kamble FaML 142 63 0 10 Dec 2018
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems Sina Mohseni Niloofar Zarei Eric D. Ragan 266 102 0 28 Nov 2018
Racial categories in machine learning Sebastian Benthall Bruce D. Haynes FaML 130 130 0 28 Nov 2018
Questioning the assumptions behind fairness solutions Sina Ghiassian B. Kulynych Martha White R. Sutton Seda F. Gürses FaML 103 22 0 27 Nov 2018
Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved Jiahao Chen Nathan Kallus Xiaojie Mao G. Svacha Madeleine Udell 117 249 0 27 Nov 2018
50 Years of Test (Un)fairness: Lessons for Machine Learning Ben Hutchinson Margaret Mitchell AILaw FaML 250 378 0 25 Nov 2018
State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers Elias Baumann J. L. Rumberger FaML 66 4 0 20 Nov 2018
Machine Decisions and Human Consequences Teresa Scantamburlo A. Charlesworth N. Cristianini FaML 65 23 0 16 Nov 2018
Aequitas: A Bias and Fairness Audit Toolkit Pedro Saleiro Benedict Kuester Loren Hinkson J. London Abby Stevens Ari Anisfeld Kit T. Rodolfa Rayid Ghani 261 369 0 14 Nov 2018
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of FairnessAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2018 N. Saxena Karen Huang Evan DeFilippis Goran Radanović David C. Parkes Zehua Wang FaML 175 188 0 08 Nov 2018
FNNC: Achieving Fairness through Neural Networks P. Manisha Sujit Gujar 301 78 0 01 Nov 2018
The Price of Fair PCA: One Extra Dimension Samira Samadi U. Tantipongpipat Jamie Morgenstern Mohit Singh Santosh Vempala FaML 256 167 0 31 Oct 2018