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
Fair Decisions Despite Imperfect Predictions Niki Kilbertus Manuel Gomez Rodriguez Bernhard Schölkopf Krikamol Muandet Isabel Valera FaML OffRL 71 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 78 60 0 06 Feb 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions Hao Wang Berk Ustun Flavio du Pin Calmon FaML 114 85 0 29 Jan 2019
Fair Regression for Health Care Spending A. Zink Sherri Rose 101 50 0 28 Jan 2019
Guarantees for Spectral Clustering with Fairness Constraints Matthäus Kleindessner Samira Samadi Pranjal Awasthi Jamie Morgenstern 96 158 0 24 Jan 2019
Identifying and Correcting Label Bias in Machine Learning Heinrich Jiang Ofir Nachum FaML 104 284 0 15 Jan 2019
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges Songül Tolan FaML 38 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 108 153 0 14 Jan 2019
Fair Algorithms for Clustering Suman Kalyan Bera Deeparnab Chakrabarty Nicolas J. Flores Maryam Negahbani FaML FedML 79 241 0 08 Jan 2019
Impossibility and Uncertainty Theorems in AI Value Alignment (or why your AGI should not have a utility function) P. Eckersley 107 46 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 263 775 0 13 Dec 2018
Learning Controllable Fair Representations Jiaming Song Pratyusha Kalluri Aditya Grover Shengjia Zhao Stefano Ermon FaML 87 180 0 11 Dec 2018
Individual Fairness in Hindsight Swati Gupta Vijay Kamble FaML 77 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 122 102 0 28 Nov 2018
Racial categories in machine learning Sebastian Benthall Bruce D. Haynes FaML 88 125 0 28 Nov 2018
Questioning the assumptions behind fairness solutions Sina Ghiassian B. Kulynych Martha White R. Sutton Seda F. Gürses FaML 47 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 67 237 0 27 Nov 2018
50 Years of Test (Un)fairness: Lessons for Machine Learning Ben Hutchinson Margaret Mitchell AILaw FaML 93 364 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 38 4 0 20 Nov 2018
Machine Decisions and Human Consequences Teresa Scantamburlo A. Charlesworth N. Cristianini FaML 40 21 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 129 328 0 14 Nov 2018
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness N. Saxena Karen Huang Evan DeFilippis Goran Radanović David C. Parkes Yang Liu FaML 113 180 0 08 Nov 2018
FNNC: Achieving Fairness through Neural Networks P. Manisha Sujit Gujar 91 75 0 01 Nov 2018
The Price of Fair PCA: One Extra Dimension Samira Samadi U. Tantipongpipat Jamie Morgenstern Mohit Singh Santosh Vempala FaML 136 158 0 31 Oct 2018
Crowdsourcing with Fairness, Diversity and Budget Constraints Naman Goel Boi Faltings FaML 85 20 0 31 Oct 2018
AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing Bettina Berendt 52 75 0 30 Oct 2018
On preserving non-discrimination when combining expert advice Avrim Blum Suriya Gunasekar Thodoris Lykouris Nathan Srebro FaML 65 29 0 28 Oct 2018
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 205 416 0 20 Oct 2018
Taking Advantage of Multitask Learning for Fair Classification L. Oneto Michele Donini Amon Elders Massimiliano Pontil FaML 76 60 0 19 Oct 2018
Hunting for Discriminatory Proxies in Linear Regression Models Samuel Yeom Anupam Datta Matt Fredrikson 134 19 0 16 Oct 2018
Discovering Fair Representations in the Data Domain Novi Quadrianto V. Sharmanska Oliver Thomas 78 3 0 15 Oct 2018
Tuning Fairness by Balancing Target Labels T. Kehrenberg Zexun Chen Novi Quadrianto 79 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 188 1,917 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 157 60 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 29 5 0 03 Oct 2018
Evaluating Fairness Metrics in the Presence of Dataset Bias J. Hinnefeld Peter Cooman Nat Mammo Rupert Deese FaML 54 36 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 71 68 0 12 Sep 2018
Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability Jon M. Kleinberg S. Mullainathan 43 70 0 12 Sep 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data David Madras Elliot Creager T. Pitassi R. Zemel FaML 94 133 0 07 Sep 2018
The implicit fairness criterion of unconstrained learning Lydia T. Liu Max Simchowitz Moritz Hardt FedML FaML 45 1 0 29 Aug 2018
Investigating Human + Machine Complementarity for Recidivism Predictions S. Tan Julius Adebayo K. Quinn Ece Kamar FaML 69 54 0 28 Aug 2018
Downstream Effects of Affirmative Action Sampath Kannan Aaron Roth Juba Ziani 81 87 0 27 Aug 2018
Avoiding Disparity Amplification under Different Worldviews Samuel Yeom Michael Carl Tschantz 99 20 0 26 Aug 2018
The Social Cost of Strategic Classification S. Milli John Miller Anca Dragan Moritz Hardt 53 184 0 25 Aug 2018
An Empirical Study of Rich Subgroup Fairness for Machine Learning Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 115 209 0 24 Aug 2018
Approximation Trees: Statistical Stability in Model Distillation Yichen Zhou Zhengze Zhou Giles Hooker 146 23 0 22 Aug 2018
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together Anupam Datta S. Sen Michael Carl Tschantz 57 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 47 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 48 18 0 17 Jul 2018
Welfare and Distributional Impacts of Fair Classification Lily Hu Yiling Chen FaML 59 24 0 03 Jul 2018