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 / 871 papers shown

Title
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making Nina Grgic-Hlaca C. Castelluccia Krishna P. Gummadi HAI 95 13 0 08 Sep 2022
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala AAML 78 14 0 02 Sep 2022
Generalization In Multi-Objective Machine Learning Peter Súkeník Christoph H. Lampert AI4CE 106 6 0 29 Aug 2022
Pushing the limits of fairness impossibility: Who's the fairest of them all? Brian Hsu Rahul Mazumder Preetam Nandy Kinjal Basu 80 11 0 24 Aug 2022
Enforcing Delayed-Impact Fairness Guarantees Aline Weber Blossom Metevier Yuriy Brun Philip S. Thomas Bruno Castro da Silva FaML 214 11 0 24 Aug 2022
Evaluation of group fairness measures in student performance prediction problems Tai Le Quy Thi-Huyen Nguyen Gunnar Friege Eirini Ntoutsi 77 8 0 22 Aug 2022
Locating disparities in machine learning Moritz von Zahn O. Hinz Stefan Feuerriegel 95 5 0 13 Aug 2022
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness Vincent Jeanselme Maria De-Arteaga Zhe Zhang Jessica Barrett Brian D. M. Tom FaML 140 15 0 13 Aug 2022
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics Michaela Benk Raphael P. Weibel Stefan Feuerriegel Andrea Ferrario 91 3 0 09 Aug 2022
Counterfactual Fairness Is Basically Demographic Parity Lucas Rosenblatt R. T. Witter 131 19 0 07 Aug 2022
Multiple Attribute Fairness: Application to Fraud Detection Meghanath Macha Yadagiri S. Ravindran Deepak Pai A. Narang V. Srivastava 120 1 0 28 Jul 2022
Fairness and Randomness in Machine Learning: Statistical Independence and Relativization Rabanus Derr Robert C. Williamson FaML 56 4 0 27 Jul 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice Maria De-Arteaga Stefan Feuerriegel M. Saar-Tsechansky FaML 151 46 0 22 Jul 2022
Towards Fairness-Aware Multi-Objective Optimization Guo-Ding Yu Lianbo Ma W. Du WenLi Du Yaochu Jin FaML 111 8 0 22 Jul 2022
AI Fairness: from Principles to Practice A. Bateni Matthew Chan Ray Eitel-Porter 48 4 0 20 Jul 2022
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions José P. Pombal André F. Cruz Joao Bravo Pedro Saleiro Mário A. T. Figueiredo P. Bizarro FaML 72 9 0 13 Jul 2022
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning Damien Dablain Bartosz Krawczyk Nitesh Chawla FaML 99 24 0 13 Jul 2022
Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization Liam Peet-Paré N. Hegde Alona Fyshe FaML 93 5 0 12 Jul 2022
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 229 49 0 12 Jul 2022
Fairness and Bias in Robot Learning Laura Londoño Juana Valeria Hurtado Nora Hertz P. Kellmeyer S. Voeneky Abhinav Valada FaML 135 13 0 07 Jul 2022
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers Zhenpeng Chen Jie M. Zhang Federica Sarro Mark Harman FaML 109 80 0 07 Jul 2022
Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines Falaah Arif Khan Eleni Manis Julia Stoyanovich FaML 67 18 0 06 Jul 2022
Understanding Instance-Level Impact of Fairness Constraints Jialu Wang Xinze Wang Yang Liu TDI FaML 138 36 0 30 Jun 2022
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale A. Veldanda Shubham Sharma Jiahao Chen Sanghamitra Dutta Alan Mishler S. Garg 104 7 0 29 Jun 2022
Fair Machine Learning in Healthcare: A Review Qizhang Feng Mengnan Du Na Zou Helen Zhou FaML 151 0 0 29 Jun 2022
Explainable and High-Performance Hate and Offensive Speech Detection M. Babaeianjelodar Gurram Poorna Prudhvi Stephen Lorenz Keyu Chen Sumona Mondal Soumyabrata Dey Navin Kumar 50 4 0 26 Jun 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 121 34 0 26 Jun 2022
Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases David Munechika Zijie J. Wang Jack Reidy Josh Rubin Krishna Gade K. Kenthapadi Duen Horng Chau MLAU 86 20 0 25 Jun 2022
Is your model predicting the past? Moritz Hardt Michael P. Kim 135 11 0 23 Jun 2022
Fairness-aware Model-agnostic Positive and Unlabeled Learning Ziwei Wu Jingrui He FaML 152 13 0 19 Jun 2022
Adversarial Scrutiny of Evidentiary Statistical Software Rediet Abebe Moritz Hardt Angela Jin John Miller Ludwig Schmidt Rebecca Wexler 93 5 0 19 Jun 2022
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction Wael Alghamdi Hsiang Hsu Haewon Jeong Hao Wang P. Michalák S. Asoodeh Flavio du Pin Calmon FaML 102 16 0 15 Jun 2022
ABCinML: Anticipatory Bias Correction in Machine Learning Applications Abdulaziz A. Almuzaini C. Bhatt David M. Pennock V. Singh FaML 125 12 0 14 Jun 2022
Causal Discovery for Fairness Ruta Binkyt.e-Sadauskien.e K. Makhlouf Carlos Pinzón Sami Zhioua C. Palamidessi CML 126 20 0 14 Jun 2022
Bounding and Approximating Intersectional Fairness through Marginal Fairness M. Molina Patrick Loiseau 101 10 0 12 Jun 2022
Improved Approximation for Fair Correlation Clustering Sara Ahmadian Maryam Negahbani FaML OOD 93 11 0 09 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 152 32 0 08 Jun 2022
Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata A. Heger Elizabeth B. Marquis Mihaela Vorvoreanu Hanna M. Wallach J. W. Vaughan 128 64 0 06 Jun 2022
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics Joachim Baumann Corinna Hertweck M. Loi Christoph Heitz 125 10 0 06 Jun 2022
A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs Corinna Hertweck Joachim Baumann M. Loi Eleonora Viganò Christoph Heitz FaML 113 4 0 06 Jun 2022
A Human-Centric Take on Model Monitoring Murtuza N. Shergadwala Himabindu Lakkaraju K. Kenthapadi 118 13 0 06 Jun 2022
Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency Joachim Baumann Anikó Hannák Christoph Heitz FaML 54 25 0 05 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 329 6 0 05 Jun 2022
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness Yuri Nakao Lorenzo Strappelli Simone Stumpf A. Naseer D. Regoli Giulia Del Gamba 84 33 0 01 Jun 2022
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria Yiqiao Liao Parinaz Naghizadeh Ardabili 187 9 0 31 May 2022
Fairness Transferability Subject to Bounded Distribution Shift Yatong Chen Reilly P. Raab Jialu Wang Yang Liu 175 38 0 31 May 2022
Variable importance without impossible data Masayoshi Mase Art B. Owen Benjamin B. Seiler 112 8 0 31 May 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition Mintong Kang Linyi Li Maurice Weber Yang Liu Ce Zhang Yue Liu OOD 110 16 0 31 May 2022
Metrizing Fairness Yves Rychener Bahar Taşkesen Daniel Kuhn FaML 153 6 0 30 May 2022
Counterfactual Fairness with Partially Known Causal Graph Aoqi Zuo Susan Wei Tongliang Liu Bo Han Kun Zhang Biwei Huang OOD FaML 104 22 0 27 May 2022