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
Fast Feature Selection with Fairness ConstraintsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Francesco Quinzan Rajiv Khanna Moshik Hershcovitch S. Cohen Daniel Waddington Tobias Friedrich Michael W. Mahoney 175 4 0 28 Feb 2022
On Learning and Testing of Counterfactual Fairness through Data PreprocessingJournal of the American Statistical Association (JASA), 2022 Haoyu Chen Wenbin Lu R. Song Pulak Ghosh FaML 113 6 0 25 Feb 2022
Attainability and Optimality: The Equalized Odds Fairness RevisitedCLEaR (CLEaR), 2022 Zeyu Tang Kun Zhang FaML 139 14 0 24 Feb 2022
Impacts of Individual Fairness on Group Fairness from the Perspective of Generalized Entropy Young-Hwan Jin Jio Gim Tae-Jin Lee Young-Joo Suh FaML 301 1 0 24 Feb 2022
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning Hilde J. P. Weerts Lambèr M. M. Royakkers Mykola Pechenizkiy FaML 93 10 0 17 Feb 2022
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers Mukund Telukunta Venkata Sriram Siddhardh Nadendla MLAU FaML 92 0 0 16 Feb 2022
Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables S. Centorrino J. Florens Jean-Michel Loubes FaML 143 1 0 16 Feb 2022
Fairness Indicators for Systematic Assessments of Visual Feature ExtractorsConference on Fairness, Accountability and Transparency (FAccT), 2022 Priya Goyal Adriana Romero Soriano C. Hazirbas Levent Sagun Nicolas Usunier EGVM 135 34 0 15 Feb 2022
Distributionally Robust Fair Principal Components via Geodesic DescentsInternational Conference on Learning Representations (ICLR), 2022 Hieu Vu Toan M. Tran Man-Chung Yue Viet Anh Nguyen 113 14 0 07 Feb 2022
Evaluation Methods and Measures for Causal Learning AlgorithmsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022 Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 200 68 0 07 Feb 2022
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcareConference on Fairness, Accountability and Transparency (FAccT), 2022 Stephen Pfohl Yizhe Xu Agata Foryciarz Nikolaos Ignatiadis Julian Z. Genkins N. Shah 146 33 0 03 Feb 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 197 12 0 03 Feb 2022
Fair Representation Clustering with Several Protected ClassesConference on Fairness, Accountability and Transparency (FAccT), 2022 Zhen Dai Yury Makarychev A. Vakilian FaML 249 11 0 03 Feb 2022
Improving Screening Processes via Calibrated Subset SelectionInternational Conference on Machine Learning (ICML), 2022 Lequn Wang Thorsten Joachims Manuel Gomez Rodriguez CML 171 20 0 02 Feb 2022
Fairness of Machine Learning Algorithms in Demography I. Emmanuel E. Mitrofanova FaML 90 0 0 02 Feb 2022
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems Mostafa M. Mohamed Björn W. Schuller 99 6 0 02 Feb 2022
Achieving Fairness at No Utility Cost via Data Reweighing with InfluenceInternational Conference on Machine Learning (ICML), 2022 Peizhao Li Hongfu Liu TDI 165 54 0 01 Feb 2022
Adaptive Sampling Strategies to Construct Equitable Training DatasetsConference on Fairness, Accountability and Transparency (FAccT), 2022 William Cai R. Encarnación Bobbie Chern S. Corbett-Davies Miranda Bogen Stevie Bergman Sharad Goel 224 33 0 31 Jan 2022
A Systematic Study of Bias Amplification Melissa Hall Laurens van der Maaten Laura Gustafson Maxwell Jones Aaron B. Adcock 226 88 0 27 Jan 2022
Handling Bias in Toxic Speech Detection: A SurveyACM Computing Surveys (ACM CSUR), 2022 Tanmay Garg Sarah Masud Tharun Suresh Tanmoy Chakraborty 255 109 0 26 Jan 2022
Promises and Challenges of Causality for Ethical Machine Learning Aida Rahmattalabi Alice Xiang FaML CML 273 11 0 26 Jan 2022
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services DeliveryConference on Fairness, Accountability and Transparency (FAccT), 2022 Aida Rahmattalabi P. Vayanos Kathryn Dullerud Eric Rice 80 23 0 25 Jan 2022
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and AccuracyAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022 Nathanael Jo S. Aghaei A. Gómez P. Vayanos FaML 324 21 0 24 Jan 2022
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study Kinshuk Sengupta Praveen Ranjan Srivastava 133 7 0 22 Jan 2022
Visual Identification of Problematic Bias in Large Label Spaces Alex Bauerle Aybuke Turker Ken Burke Osman Aka Timo Ropinski Christina Greer Mani Varadarajan 118 2 0 17 Jan 2022
Fair Interpretable Learning via Correction Vectors Mattia Cerrato Marius Köppel A. Segner Stefan Kramer FaML CML 65 2 0 17 Jan 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 86 7 0 13 Jan 2022
Learning Fair Node Representations with Graph Counterfactual FairnessWeb Search and Data Mining (WSDM), 2022 Jing Ma Ruocheng Guo Mengting Wan Longqi Yang Aidong Zhang Jundong Li FaML 170 98 0 10 Jan 2022
Uncovering the Source of Machine BiasSocial Science Research Network (SSRN), 2022 Xiyang Hu Yan-ping Huang Beibei Li Tian Lu FaML 134 2 0 09 Jan 2022
There is an elephant in the room: Towards a critique on the use of fairness in biometrics Ana Valdivia Júlia Corbera Serrajòrdia Aneta Swianiewicz 170 19 0 16 Dec 2021
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 208 430 0 13 Dec 2021
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions Brianna Richardson J. Gilbert FaML 123 45 0 10 Dec 2021
On Fair Selection in the Presence of Implicit and Differential Variance V. Emelianov Nicolas Gast Krishna P. Gummadi Patrick Loiseau 90 25 0 10 Dec 2021
Qualitative Analysis for Human Centered AI Orestis Papakyriakopoulos E. A. Watkins Amy A. Winecoff Klaudia Ja'zwiñska Tithi Chattopadhyay 157 9 0 07 Dec 2021
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents Andrew Estornell Sanmay Das Yang Liu Yevgeniy Vorobeychik FaML 99 10 0 06 Dec 2021
Counterfactual Fairness in Mortgage Lending via Matching and Randomization Sama Ghoba Nathan Colaner 90 1 0 03 Dec 2021
Learning Fair Classifiers with Partially Annotated Group LabelsComputer Vision and Pattern Recognition (CVPR), 2021 Sangwon Jung Sanghyuk Chun Taesup Moon 214 49 0 29 Nov 2021
Online Fair Revenue Maximizing Cake Division with Non-Contiguous Pieces in Adversarial Bandits Mohammad Ghodsi Amirmahdi Mirfakhar 113 2 0 29 Nov 2021
A Causal Approach for Unfair Edge Prioritization and Discrimination RemovalAsian Conference on Machine Learning (ACML), 2021 Pavan Ravishankar Pranshu Malviya Balaraman Ravindran 158 1 0 29 Nov 2021
Fairness for AUC via Feature Augmentation H. Fong Vineet Kumar Anay Mehrotra Nisheeth K. Vishnoi 147 14 0 24 Nov 2021
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR Yuyin Zhou Shih-Cheng Huang Jason Alan Fries Alaa Youssef T. Amrhein ... Imon Banerjee D. Rubin Lei Xing N. Shah M. Lungren 126 50 0 23 Nov 2021
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions Chunxi Liu M. Picheny Leda Sari Pooja Chitkara Alex Xiao Xiaohui Zhang Mark Chou Andres Alvarado C. Hazirbas Yatharth Saraf 183 48 0 18 Nov 2021
Interpretable and Fair Boolean Rule Sets via Column Generation Connor Lawless S. Dash Oktay Gunluk Dennis L. Wei FaML 180 14 0 16 Nov 2021
Unified Group Fairness on Federated Learning Tai-wei Chang Kun Kuang Yuxuan Liu Long Chen Chao-Xiang Wu Leilei Gan Jiaxun Lu Yunfeng Shao Jun Xiao FedML 287 20 0 09 Nov 2021
Group-Aware Threshold Adaptation for Fair Classification T. Jang P. Shi Xiaoqian Wang FaML 171 44 0 08 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 207 39 0 04 Nov 2021
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial ServicesInternational Conference on AI in Finance (ICAF), 2021 Eren Kurshan Jiahao Chen Victor Storchan Hongda Shen FaML AIFin 169 15 0 02 Nov 2021
Unintended Selection: Persistent Qualification Rate Disparities and InterventionsNeural Information Processing Systems (NeurIPS), 2021 Reilly P. Raab Yang Liu 207 26 0 01 Nov 2021
Selective Regression Under Fairness CriteriaInternational Conference on Machine Learning (ICML), 2021 Abhin Shah Yuheng Bu Joshua K. Lee Subhro Das Yikang Shen P. Sattigeri G. Wornell 241 31 0 28 Oct 2021
On the Fairness of Machine-Assisted Human DecisionsConference on Fairness, Accountability and Transparency (FAccT), 2021 Talia B. Gillis Bryce Mclaughlin Jann Spiess FaML 151 18 0 28 Oct 2021