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
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node ClassificationInternational Conference on Information and Knowledge Management (CIKM), 2023 Arpit Merchant Carlos Castillo 85 5 0 18 Aug 2023
Software Doping Analysis for Human Oversight Sebastian Biewer Kevin Baum Sarah Sterz Holger Hermanns Sven Hetmank Markus Langer Anne Lauber-Rönsberg Franz Lehr 151 9 0 11 Aug 2023
Monitoring Algorithmic Fairness under Partial ObservationsRuntime Verification (RV), 2023 T. Henzinger Konstantin Kueffner Kaushik Mallik MLAU 139 6 0 01 Aug 2023
Bipartite Ranking Fairness through a Model Agnostic Ordering AdjustmentIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Sen Cui Weishen Pan Changshui Zhang Fei Wang 97 13 0 27 Jul 2023
On the Vulnerability of Fairness Constrained Learning to Malicious NoiseInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Avrim Blum Princewill Okoroafor Aadirupa Saha Kevin Stangl 160 3 0 21 Jul 2023
Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework Simiao Zhang Jitao Bai Menghong Guan Yihao Huang Yueling Zhang Jun Sun G. Pu FaML 110 1 0 21 Jul 2023
Learning for Counterfactual Fairness from Observational DataKnowledge Discovery and Data Mining (KDD), 2023 Jing Ma Ruocheng Guo Aidong Zhang Jundong Li FaML 120 14 0 17 Jul 2023
National Origin Discrimination in Deep-learning-powered Automated Resume Screening Changhao Nai Kuangzheng Li Haibing Lu 101 5 0 13 Jul 2023
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity MatchingProceedings of the VLDB Endowment (PVLDB), 2023 N. Shahbazi Nikola Danevski F. Nargesian Abolfazl Asudeh D. Srivastava 93 18 0 06 Jul 2023
Scaling Laws Do Not ScaleAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023 Fernando Diaz Michael A. Madaio 221 14 0 05 Jul 2023
Algorithms, Incentives, and Democracy E. M. Penn John W. Patty FaML 97 1 0 05 Jul 2023
Minimum Levels of Interpretability for Artificial Moral AgentsAI and Ethics (AE), 2023 Avish Vijayaraghavan C. Badea AI4CE 119 6 0 02 Jul 2023
On the Cause of Unfairness: A Training Sample Perspective Yuanshun Yao Yang Liu TDI 178 0 0 30 Jun 2023
Systematic analysis of the impact of label noise correction on ML FairnessApplied Informatics (AI), 2023 I. O. E. Silva Carlos Soares I. Sousa R. Ghani 90 2 0 28 Jun 2023
FAIRER: Fairness as Decision Rationale AlignmentInternational Conference on Machine Learning (ICML), 2023 Tianlin Li Qing Guo Aishan Liu Mengnan Du Zhiming Li Yang Liu 146 18 0 27 Jun 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-offACM Computing Surveys (ACM Comput. Surv.), 2023 Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 176 66 0 25 Jun 2023
Trading-off price for data quality to achieve fair online allocationNeural Information Processing Systems (NeurIPS), 2023 M. Molina Nicolas Gast Patrick Loiseau Vianney Perchet 217 4 0 23 Jun 2023
Auditing Predictive Models for Intersectional Biases Karen Boxer E. McFowland Daniel B. Neill 46 3 0 22 Jun 2023
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness Neil Menghani E. McFowland Daniel B. Neill 84 0 0 19 Jun 2023
Correcting Underrepresentation and Intersectional Bias for Classification Emily Diana A. Tolbert FaML 167 1 0 19 Jun 2023
Evaluating Superhuman Models with Consistency Checks Lukas Fluri Daniel Paleka Florian Tramèr ELM 236 49 0 16 Jun 2023
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness MethodsInternational Conference on Learning Representations (ICLR), 2023 Xiaotian Han Jianfeng Chi Yu Chen Qifan Wang Han Zhao Na Zou Helen Zhou 205 39 0 15 Jun 2023
Arbitrariness Lies Beyond the Fairness-Accuracy Frontier Carol Xuan Long Hsiang Hsu Wael Alghamdi Flavio du Pin Calmon FaML 143 10 0 15 Jun 2023
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML Giang Nguyen Sumon Biswas Hridesh Rajan FaML 192 17 0 15 Jun 2023
Are fairness metric scores enough to assess discrimination biases in machine learning? Fanny Jourdan Laurent Risser Jean-Michel Loubes Nicholas M. Asher FaML 102 6 0 08 Jun 2023
Reconciling Predictive and Statistical Parity: A Causal ApproachAAAI Conference on Artificial Intelligence (AAAI), 2023 Drago Plečko Elias Bareinboim FaML 147 2 0 08 Jun 2023
Toward A Logical Theory Of Fairness and BiasTheory and Practice of Logic Programming (TPLP), 2023 Vaishak Belle FaML 195 1 0 08 Jun 2023
Doubly Constrained Fair ClusteringNeural Information Processing Systems (NeurIPS), 2023 John P. Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 157 10 0 31 May 2023
Disentangling and Operationalizing AI Fairness at LinkedInConference on Fairness, Accountability and Transparency (FAccT), 2023 Joaquin Quiñonero Candela Yuwen Wu Brian Hsu Sakshi Jain Jennifer Ramos Jon Adams R. Hallman Kinjal Basu 169 11 0 30 May 2023
Examining risks of racial biases in NLP tools for child protective servicesConference on Fairness, Accountability and Transparency (FAccT), 2023 Anjalie Field Amanda Coston Nupoor Gandhi Alexandra Chouldechova Emily Putnam-Hornstein David Steier Yulia Tsvetkov 135 17 0 30 May 2023
Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making Timothée Schmude Laura M. Koesten Torsten Moller Sebastian Tschiatschek 95 1 0 26 May 2023
Monitoring Algorithmic FairnessInternational Conference on Computer Aided Verification (CAV), 2023 T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik FaML 145 11 0 25 May 2023
Deep Learning and Ethics Travis LaCroix Simon J. D. Prince FaML 131 0 0 24 May 2023
Time Fairness in Online Knapsack ProblemsInternational Conference on Learning Representations (ICLR), 2023 Adam Lechowicz Rik Sengupta Bo Sun Shahin Kamali Mohammad Hajiesmaili FaML 221 5 0 22 May 2023
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision TreeConference on Fairness, Accountability and Transparency (FAccT), 2023 Hilde J. P. Weerts Raphaële Xenidis Fabien Tarissan Henrik Palmer Olsen Mykola Pechenizkiy FaML 127 28 0 05 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 183 6 0 04 May 2023
On the Impact of Data Quality on Image Classification FairnessAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Aki Barry Lei Han Gianluca Demartini 135 6 0 02 May 2023
Coarse race data conceals disparities in clinical risk score performanceMachine Learning in Health Care (MLHC), 2023 Rajiv Movva Divya Shanmugam Kaihua Hou P. Pathak John Guttag Nikhil Garg Emma Pierson 126 29 0 18 Apr 2023
Maximal FairnessConference on Fairness, Accountability and Transparency (FAccT), 2023 Marybeth Defrance Tijl De Bie 91 9 0 12 Apr 2023
Learning Optimal Fair Scoring Systems for Multi-Class ClassificationIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2022 Julien Rouzot Julien Ferry Marie-José Huguet FaML 268 12 0 11 Apr 2023
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks Yuzhen Mao Zhun Deng Huaxiu Yao Ting Ye Kenji Kawaguchi James Zou 218 27 0 08 Apr 2023
Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders Mukund Telukunta Venkata Sriram Siddhardh Nadendla 94 1 0 07 Apr 2023
Fairness through Aleatoric UncertaintyInternational Conference on Information and Knowledge Management (CIKM), 2023 Anique Tahir Lu Cheng Huan Liu 175 17 0 07 Apr 2023
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in AfricaConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023 M. Asiedu Awa Dieng Abigail Oppong Margaret Nagawa Sanmi Koyejo Katherine A. Heller 180 15 0 05 Apr 2023
Towards "Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI Wesley Hanwen Deng Motahhare Eslami Kenneth Holstein 151 2 0 31 Mar 2023
Bias mitigation techniques in image classification: fair machine learning in human heritage collectionsJournal of WSCG (WSCG), 2023 Dalia Ortiz Pablo Sushruth Badri Erik Norén Christoph Nötzli 198 1 0 20 Mar 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoMLJournal of Artificial Intelligence Research (JAIR), 2023 Hilde J. P. Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Eddie Bergman Noor H. Awad Joaquin Vanschoren Mykola Pechenizkiy J. Herbinger Katharina Eggensperger FaML 251 20 0 15 Mar 2023
Graph Neural Network Surrogates of Fair Graph Filtering Emmanouil Krasanakis Symeon Papadopoulos 118 1 0 14 Mar 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 270 1 0 14 Mar 2023
No-regret Algorithms for Fair Resource AllocationNeural Information Processing Systems (NeurIPS), 2023 Abhishek Sinha Ativ Joshi Rajarshi Bhattacharjee Cameron Musco Mohammad Hajiesmaili FaML 124 10 0 11 Mar 2023