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
Fairness-enhancing deep learning for ride-hailing demand predictionIEEE Open Journal of Intelligent Transportation Systems (JOITS), 2023 Yunhan Zheng Qingyi Wang Dingyi Zhuang Shenhao Wang Jinhua Zhao 144 17 0 10 Mar 2023
SoK: Content Moderation for End-to-End EncryptionProceedings on Privacy Enhancing Technologies (PoPETs), 2023 Sarah Scheffler Jonathan R. Mayer 180 29 0 07 Mar 2023
Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values Adrián Arnaiz-Rodríguez Nuria Oliver FedML TDI 237 5 0 03 Mar 2023
Feature Importance Disparities for Data Bias InvestigationsInternational Conference on Machine Learning (ICML), 2023 Peter W. Chang Leor Fishman Seth Neel 260 2 0 03 Mar 2023
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group FairnessInternational Conference on Human Factors in Computing Systems (CHI), 2023 Zahra Ashktorab Benjamin Hoover Mayank Agarwal Casey Dugan Werner Geyer Han Yang Mikhail Yurochkin FaML 198 20 0 01 Mar 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust OptimizationInternational Conference on Learning Representations (ICLR), 2023 Sangwon Jung Taeeon Park Sanghyuk Chun Taesup Moon 150 23 0 01 Mar 2023
How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations? Fanny Jourdan Titon Tshiongo Kaninku Nicholas M. Asher Jean-Michel Loubes Laurent Risser FaML 115 5 0 27 Feb 2023
Designing Equitable AlgorithmsNature Computational Science (Nat. Comput. Sci.), 2023 Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 116 15 0 17 Feb 2023
On (assessing) the fairness of risk score modelsConference on Fairness, Accountability and Transparency (FAccT), 2023 Eike Petersen M. Ganz Sune Holm Aasa Feragen FaML 137 25 0 17 Feb 2023
The Unbearable Weight of Massive Privilege: Revisiting Bias-Variance Trade-Offs in the Context of Fair Prediction Falaah Arif Khan Julia Stoyanovich FaML VLM CML 39 4 0 17 Feb 2023
Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers Melissa Hall Bobbie Chern Laura Gustafson Denisse Ventura Harshad Kulkarni Candace Ross Nicolas Usunier 143 6 0 16 Feb 2023
On the Impact of Explanations on Understanding of Algorithmic Decision-MakingConference on Fairness, Accountability and Transparency (FAccT), 2023 Timothée Schmude Laura M. Koesten Torsten Moller Sebastian Tschiatschek 204 20 0 16 Feb 2023
Individual Fairness under UncertaintyEuropean Conference on Artificial Intelligence (ECAI), 2023 Wenbin Zhang Sribala Vidyadhari Chinta Tong Zhang Cheng Cheng Thomas Oommen Pradeep Ravikumar Jeremy C. Weiss FaML 155 17 0 16 Feb 2023
Provable Detection of Propagating Sampling Bias in Prediction ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023 Pavan Ravishankar Qingyu Mo E. McFowland Daniel B. Neill 102 7 0 13 Feb 2023
The Possibility of Fairness: Revisiting the Impossibility Theorem in PracticeConference on Fairness, Accountability and Transparency (FAccT), 2023 Andrew Bell Lucius E.J. Bynum Nazarii Drushchak Tetiana Herasymova Lucas Rosenblatt Julia Stoyanovich 93 28 0 13 Feb 2023
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLPConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 Xudong Han Timothy Baldwin Trevor Cohn 152 13 0 11 Feb 2023
An Epistemic and Aleatoric Decomposition of Arbitrariness to Constrain the Set of Good Models Falaah Arif Khan Denys Herasymuk Nazar Protsiv Julia Stoyanovich 93 2 0 09 Feb 2023
Local Law 144: A Critical Analysis of Regression Metrics Giulio Filippi Sara Zannone Airlie Hilliard Adriano Soares Koshiyama MLAU 72 3 0 08 Feb 2023
On the Richness of CalibrationConference on Fairness, Accountability and Transparency (FAccT), 2023 Benedikt Höltgen Robert C. Williamson 166 11 0 08 Feb 2023
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning MethodsAI and Ethics (AE), 2023 Dawen Zhang Shidong Pan Thong Hoang Zhenchang Xing Mark Staples Xiwei Xu Lina Yao Qinghua Lu Liming Zhu MU 115 25 0 07 Feb 2023
An Empirical Analysis of Fairness Notions under Differential Privacy Anderson Santana de Oliveira Caelin Kaplan Khawla Mallat Tanmay Chakraborty FedML 160 10 0 06 Feb 2023
Fair Spatial Indexing: A paradigm for Group Spatial FairnessInternational Conference on Extending Database Technology (EDBT), 2023 Sina shaham Gabriel Ghinita Cyrus Shahabi 123 0 0 05 Feb 2023
An Operational Perspective to Fairness Interventions: Where and How to Intervene Brian Hsu Xiaotong Chen Ying Han Hongseok Namkoong Kinjal Basu 216 2 0 03 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"International Conference on Human Factors in Computing Systems (CHI), 2023 Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 165 30 0 02 Feb 2023
On the Within-Group Fairness of Screening ClassifiersInternational Conference on Machine Learning (ICML), 2023 William Orchard Stratis Tsirtsis Manuel Gomez Rodriguez 245 3 0 31 Jan 2023
Superhuman FairnessInternational Conference on Machine Learning (ICML), 2023 Omid Memarrast Linh Vu Brian Ziebart FaML 84 3 0 31 Jan 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness InterventionsNeural Information Processing Systems (NeurIPS), 2023 Hao Wang Luxi He Rui Gao Flavio du Pin Calmon 185 20 0 27 Jan 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 331 3 0 25 Jan 2023
Properties of Group Fairness Metrics for RankingsACM Transactions on Social Computing (TSC), 2022 Tobias Schumacher Marlene Lutz Sandipan Sikdar M. Strohmaier 99 5 0 29 Dec 2022
Stochastic Methods for AUC Optimization subject to AUC-based Fairness ConstraintsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Yao Yao Qihang Lin Tianbao Yang FaML 236 12 0 23 Dec 2022
PreFair: Privately Generating Justifiably Fair Synthetic DataProceedings of the VLDB Endowment (PVLDB), 2022 David Pujol Amir Gilad Ashwin Machanavajjhala 145 11 0 20 Dec 2022
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding Ashesh Rambachan Amanda Coston Edward H. Kennedy 257 5 0 19 Dec 2022
Tensions Between the Proxies of Human Values in AI Teresa Datta D. Nissani Max Cembalest Akash Khanna Haley Massa John P. Dickerson 172 4 0 14 Dec 2022
Fairify: Fairness Verification of Neural NetworksInternational Conference on Software Engineering (ICSE), 2022 Sumon Biswas Hridesh Rajan 173 34 0 08 Dec 2022
Towards Understanding Fairness and its Composition in Ensemble Machine LearningInternational Conference on Software Engineering (ICSE), 2022 Usman Gohar Sumon Biswas Hridesh Rajan FaML FedML 137 28 0 08 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate BiasesNeural Information Processing Systems (NeurIPS), 2022 Mazda Moayeri Wenxiao Wang Sahil Singla Soheil Feizi 310 17 0 05 Dec 2022
Certifying Fairness of Probabilistic CircuitsAAAI Conference on Artificial Intelligence (AAAI), 2022 Nikil Selvam Karen Ullrich YooJung Choi FaML TPM 122 6 0 05 Dec 2022
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility ResultsAAAI Conference on Artificial Intelligence (AAAI), 2022 Nathanael Jo Bill Tang Kathryn Dullerud S. Aghaei Eric Rice P. Vayanos 118 9 0 04 Dec 2022
Causal Fairness Assessment of Treatment Allocation with Electronic Health RecordsJournal of Biomedical Informatics (JBI), 2022 Linying Zhang L. Richter Yixin Wang A. Ostropolets Noémie Elhadad David M. Blei G. Hripcsak CML 145 5 0 21 Nov 2022
A Survey on Preserving Fairness Guarantees in Changing Environments Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto FaML 148 3 0 14 Nov 2022
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations Shea Cardozo Gabriel Islas Montero Dmitry Kazhdan B. Dimanov Maleakhi A. Wijaya M. Jamnik Pietro Lio AAML 131 0 0 14 Nov 2022
Fair and Optimal Classification via Post-ProcessingInternational Conference on Machine Learning (ICML), 2022 Ruicheng Xian Lang Yin Han Zhao FaML 311 43 0 03 Nov 2022
I Prefer not to Say: Protecting User Consent in Models with Optional Personal DataAAAI Conference on Artificial Intelligence (AAAI), 2022 Tobias Leemann Martin Pawelczyk Christian Thomas Eberle Gjergji Kasneci 289 1 0 25 Oct 2022
Abstract Interpretation-Based Feature Importance for SVMs Abhinanda Pal Francesco Ranzato Caterina Urban Marco Zanella FAtt 112 0 0 22 Oct 2022
On Learning Fairness and Accuracy on Multiple SubgroupsNeural Information Processing Systems (NeurIPS), 2022 Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles Ling Tal Arbel Boyu Wang Christian Gagné 171 48 0 19 Oct 2022
Group Fairness in Prediction-Based Decision Making: From Moral Assessment to ImplementationSwiss Conference on Data Science (SDS), 2022 Joachim Baumann Christoph Heitz 90 8 0 19 Oct 2022
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis Laurent Risser Agustin Picard Lucas Hervier Jean-Michel Loubes FaML 142 6 0 10 Oct 2022
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs Angelie Kraft Ricardo Usbeck KELM 162 13 0 07 Oct 2022
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive AttributesInternational Conference on Machine Learning (ICML), 2022 Zhaowei Zhu Yuanshun Yao Jiankai Sun Hanguang Li Zehua Wang 195 27 0 06 Oct 2022
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending RegulationAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022 Indra Elizabeth Kumar Keegan E. Hines John P. Dickerson FaML 167 26 0 05 Oct 2022