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 / 866 papers shown

Title
E-values, Multiple Testing and Beyond Guanxun Li Xianyang Zhang 80 1 0 05 Dec 2023
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning Kangkang Sun Xiaojin Zhang Xi Lin Gaolei Li Jing Wang Jianhua Li 94 5 0 30 Nov 2023
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation Xuan Zhao Simone Fabbrizzi Paula Reyero Lobo Siamak Ghodsi Klaus Broelemann Steffen Staab Gjergji Kasneci 95 2 0 21 Nov 2023
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 123 5 0 21 Nov 2023
Measuring and Mitigating Biases in Motor Insurance Pricing Mulah Moriah Franck Vermet Arthur Charpentier 90 1 0 20 Nov 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 140 1 0 10 Nov 2023
Fair Wasserstein Coresets Zikai Xiong Niccolò Dalmasso Sanjay Kariyappa Freddy Lecue Daniele Magazzeni Vamsi K. Potluru T. Balch Manuela Veloso 179 2 0 09 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 116 3 0 05 Nov 2023
Equal Opportunity of Coverage in Fair Regression Fangxin Wang Lu Cheng Ruocheng Guo Kay Liu Philip S. Yu 243 16 0 03 Nov 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness Jacy Reese Anthis Victor Veitch 94 19 0 30 Oct 2023
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts Elliott Ash Naman Goel Nianyun Li Claudia Marangon Peiyao Sun 180 2 0 28 Oct 2023
fairret: a Framework for Differentiable Fairness Regularization Terms Maarten Buyl Marybeth Defrance T. D. Bie FedML 115 6 0 26 Oct 2023
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness Zachary McBride Lazri Shubham Sharma Xin Tian Dana Dachman-Soled Antigoni Polychroniadou Danial Dervovic Min Wu 98 1 0 23 Oct 2023
Detection and Evaluation of bias-inducing Features in Machine learning Moses Openja Gabriel Laberge Foutse Khomh CML 39 4 0 19 Oct 2023
Group-blind optimal transport to group parity and its constrained variants Quan-Gen Zhou Georgios Korpas 109 3 0 17 Oct 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness Wei Yao Zhanke Zhou Zhicong Li Bo Han Yong Liu 135 5 0 17 Oct 2023
A Critical Survey on Fairness Benefits of Explainable AI Luca Deck Jakob Schoeffer Maria De-Arteaga Niklas Kühl 205 16 0 15 Oct 2023
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features Navita Goyal Connor Baumler Tin Trung Nguyen Hal Daumé 126 9 0 12 Oct 2023
Post-hoc Bias Scoring Is Optimal For Fair Classification Wenlong Chen Yegor Klochkov Yang Liu FaML 117 9 0 09 Oct 2023
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model Teresa Scantamburlo Joachim Baumann Christoph Heitz FaML 93 9 0 09 Oct 2023
Interventions Against Machine-Assisted Statistical Discrimination John Y. Zhu 122 0 0 06 Oct 2023
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms James Brookhouse Alex Freitas FaML 69 2 0 04 Oct 2023
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features Hadi Elzayn Emily Black Patrick Vossler Nathanael Jo Jacob Goldin Daniel E. Ho 75 6 0 02 Oct 2023
Towards Last-layer Retraining for Group Robustness with Fewer Annotations Tyler LaBonte Vidya Muthukumar Abhishek Kumar 158 45 0 15 Sep 2023
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing Zhihao Hu Yiran Xu Mengnan Du Jindong Gu Xinmei Tian Fengxiang He 138 1 0 15 Sep 2023
Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems Ehsan Toreini M. Mehrnezhad Aad van Moorsel 80 5 0 12 Sep 2023
Re-formalization of Individual Fairness Toshihiro Kamishima FaML 38 0 0 11 Sep 2023
Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D) Yu Huang Jingchuan Guo W. Donahoo Zhengkang Fan Ying Lu Wei-Han Chen Huilin Tang Lori Bilello E. Shenkman Jiang Bian 107 1 0 05 Sep 2023
Fairness in Ranking under Disparate Uncertainty Richa Rastogi Thorsten Joachims 104 3 0 04 Sep 2023
Bias and Fairness in Large Language Models: A Survey Isabel O. Gallegos Ryan Rossi Joe Barrow Md Mehrab Tanjim Sungchul Kim Franck Dernoncourt Tong Yu Ruiyi Zhang Nesreen Ahmed AILaw 170 726 0 02 Sep 2023
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond Filippo Galli Kangsoo Jung Sayan Biswas C. Palamidessi Tommaso Cucinotta FedML 115 13 0 01 Sep 2023
Evaluating the Vulnerabilities in ML systems in terms of adversarial attacks John Harshith Mantej Singh Gill Madhan Jothimani AAML 61 1 0 24 Aug 2023
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification Arpit Merchant Carlos Castillo 77 4 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 83 4 0 11 Aug 2023
Monitoring Algorithmic Fairness under Partial Observations T. Henzinger Konstantin Kueffner Kaushik Mallik MLAU 107 6 0 01 Aug 2023
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment Sen Cui Weishen Pan Changshui Zhang Fei Wang 73 13 0 27 Jul 2023
On the Vulnerability of Fairness Constrained Learning to Malicious Noise Avrim Blum Princewill Okoroafor Aadirupa Saha Kevin Stangl 83 2 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 70 1 0 21 Jul 2023
Learning for Counterfactual Fairness from Observational Data Jing Ma Ruocheng Guo Aidong Zhang Jundong Li FaML 75 15 0 17 Jul 2023
National Origin Discrimination in Deep-learning-powered Automated Resume Screening Changhao Nai Kuangzheng Li Haibing Lu 65 4 0 13 Jul 2023
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching N. Shahbazi Nikola Danevski F. Nargesian Abolfazl Asudeh D. Srivastava 73 17 0 06 Jul 2023
Scaling Laws Do Not Scale Fernando Diaz Michael A. Madaio 139 13 0 05 Jul 2023
Algorithms, Incentives, and Democracy E. M. Penn John W. Patty FaML 93 1 0 05 Jul 2023
Minimum Levels of Interpretability for Artificial Moral Agents Avish Vijayaraghavan C. Badea AI4CE 79 6 0 02 Jul 2023
On the Cause of Unfairness: A Training Sample Perspective Yuanshun Yao Yang Liu TDI 110 0 0 30 Jun 2023
Systematic analysis of the impact of label noise correction on ML Fairness I. O. E. Silva Carlos Soares I. Sousa R. Ghani 66 2 0 28 Jun 2023
FAIRER: Fairness as Decision Rationale Alignment Tianlin Li Qing Guo Aishan Liu Mengnan Du Zhiming Li Yang Liu 82 17 0 27 Jun 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 95 58 0 25 Jun 2023
Trading-off price for data quality to achieve fair online allocation M. Molina Nicolas Gast Patrick Loiseau Vianney Perchet 122 4 0 23 Jun 2023
Auditing Predictive Models for Intersectional Biases Karen Boxer E. McFowland Daniel B. Neill 34 2 0 22 Jun 2023