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 / 858 papers shown

Title
Towards Fairness-Aware Multi-Objective Optimization Guo-Ding Yu Lianbo Ma W. Du WenLi Du Yaochu Jin FaML 83 7 0 22 Jul 2022
AI Fairness: from Principles to Practice A. Bateni Matthew Chan Ray Eitel-Porter 28 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 63 8 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 69 23 0 13 Jul 2022
Long Term Fairness for Minority Groups via Performative Distributionally Robust Optimization Liam Peet-Paré N. Hegde Alona Fyshe FaML 55 4 0 12 Jul 2022
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 199 46 0 12 Jul 2022
Fairness and Bias in Robot Learning Laura Londoño Juana Valeria Hurtado Nora Hertz P. Kellmeyer S. Voeneky Abhinav Valada FaML 73 9 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 74 73 0 07 Jul 2022
Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines Falaah Arif Khan Eleni Manis Julia Stoyanovich FaML 60 17 0 06 Jul 2022
Understanding Instance-Level Impact of Fairness Constraints Jialu Wang Xinze Wang Yang Liu TDI FaML 108 34 0 30 Jun 2022
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale A. Veldanda Ivan Brugere Jiahao Chen Sanghamitra Dutta Alan Mishler S. Garg 81 7 0 29 Jun 2022
Fair Machine Learning in Healthcare: A Review Qizhang Feng Mengnan Du Na Zou Helen Zhou FaML 72 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 21 3 0 26 Jun 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 85 31 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 59 18 0 25 Jun 2022
Is your model predicting the past? Moritz Hardt Michael P. Kim 66 11 0 23 Jun 2022
Fairness-aware Model-agnostic Positive and Unlabeled Learning Ziwei Wu Jingrui He FaML 114 12 0 19 Jun 2022
Adversarial Scrutiny of Evidentiary Statistical Software Rediet Abebe Moritz Hardt Angela Jin John Miller Ludwig Schmidt Rebecca Wexler 81 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 75 16 0 15 Jun 2022
ABCinML: Anticipatory Bias Correction in Machine Learning Applications Abdulaziz A. Almuzaini C. Bhatt David M. Pennock V. Singh FaML 111 10 0 14 Jun 2022
Causal Discovery for Fairness Ruta Binkyt.e-Sadauskien.e K. Makhlouf Carlos Pinzón Sami Zhioua C. Palamidessi CML 78 18 0 14 Jun 2022
Bounding and Approximating Intersectional Fairness through Marginal Fairness M. Molina Patrick Loiseau 73 9 0 12 Jun 2022
Improved Approximation for Fair Correlation Clustering Sara Ahmadian Maryam Negahbani FaML OOD 41 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 94 29 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 81 62 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 39 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 43 4 0 06 Jun 2022
A Human-Centric Take on Model Monitoring Murtuza N. Shergadwala Himabindu Lakkaraju K. Kenthapadi 91 11 0 06 Jun 2022
Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency Joachim Baumann Anikó Hannák Christoph Heitz FaML 48 25 0 05 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 259 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 60 30 0 01 Jun 2022
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria Yiqiao Liao Parinaz Naghizadeh Ardabili 79 9 0 31 May 2022
Fairness Transferability Subject to Bounded Distribution Shift Yatong Chen Reilly P. Raab Jialu Wang Yang Liu 103 35 0 31 May 2022
Variable importance without impossible data Masayoshi Mase Art B. Owen Benjamin B. Seiler 73 7 0 31 May 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition Mintong Kang Linyi Li Maurice Weber Yang Liu Ce Zhang Yue Liu OOD 102 15 0 31 May 2022
Metrizing Fairness Yves Rychener Bahar Taşkesen Daniel Kuhn FaML 64 4 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 65 19 0 27 May 2022
Fairness in Recommendation: Foundations, Methods and Applications Yunqi Li H. Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Yongfeng Zhang FaML OffRL 196 46 0 26 May 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 103 28 0 26 May 2022
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy Limor Gultchin Vincent Cohen-Addad Sophie Giffard-Roisin Varun Kanade Frederik Mallmann-Trenn 63 4 0 24 May 2022
Fairness in Recommender Systems: Research Landscape and Future Directions Yashar Deldjoo Dietmar Jannach Alejandro Bellogín Alessandro Difonzo Dario Zanzonelli OffRL FaML 123 94 0 23 May 2022
Measuring algorithmic interpretability: A human-learning-based framework and the corresponding cognitive complexity score John P. Lalor Hong Guo 35 1 0 20 May 2022
The Fairness of Credit Scoring Models Christophe Hurlin C. Pérignon Sébastien Saurin FaML 65 25 0 20 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 99 15 0 20 May 2022
Multi-disciplinary fairness considerations in machine learning for clinical trials Isabel Chien Nina Deliu Richard Turner Adrian Weller S. Villar Niki Kilbertus FaML 71 23 0 18 May 2022
Accurate Fairness: Improving Individual Fairness without Trading Accuracy Xuran Li Peng Wu Jing Su FaML 67 19 0 18 May 2022
Fair Bayes-Optimal Classifiers Under Predictive Parity Xianli Zeng Yan Sun Guang Cheng FaML 109 14 0 15 May 2022
Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law Thierry Kirat Olivia Tambou Virginie Do A. Tsoukiás FaML 52 15 0 14 May 2022
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits Wesley Hanwen Deng Manish Nagireddy M. S. Lee Jatinder Singh Zhiwei Steven Wu Kenneth Holstein Haiyi Zhu 90 97 0 13 May 2022
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making Jakob Schoeffer Niklas Kuehl Yvette Machowski FaML 72 59 0 11 May 2022