On the Apparent Conflict Between Individual and Group Fairness

14 December 2019

Reuben Binns

Papers citing "On the Apparent Conflict Between Individual and Group Fairness"

50 / 123 papers shown

Title
Inductive Graph Unlearning Cheng-Long Wang Mengdi Huai Di Wang MU 59 29 0 06 Apr 2023
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness Anaelia Ovalle Arjun Subramonian Vagrant Gautam Gilbert Gee Kai-Wei Chang 92 41 0 16 Mar 2023
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision Sungwon Han Seungeon Lee Fangzhao Wu Sundong Kim Chuhan Wu Xiting Wang Xing Xie M. Cha FaML 54 6 0 15 Mar 2023
When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness Natasa Krco Thibault Laugel Vincent Grari Jean-Michel Loubes Marcin Detyniecki 55 0 0 14 Feb 2023
Improving Recommendation Fairness via Data Augmentation Lei Chen Le Wu Kun Zhang Richang Hong Defu Lian Qing Cui Jun Zhou Meng Wang FedML 56 46 0 13 Feb 2023
On Comparing Fair Classifiers under Data Bias Mohit Sharma Amit Deshpande R. Shah 89 2 0 12 Feb 2023
Individual Fairness for Social Media Influencers Ş. Ionescu Nicolò Pagan Anikó Hannák FaML 55 2 0 19 Jan 2023
Robust Explanation Constraints for Neural Networks Matthew Wicker Juyeon Heo Luca Costabello Adrian Weller FAtt 63 18 0 16 Dec 2022
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data Minghong Fang Jia-Wei Liu Michinari Momma Yi Sun 71 4 0 13 Dec 2022
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings Agapi Rissaki Bruno Scarone David Liu Aditeya Pandey Brennan Klein Tina Eliassi-Rad M. Borkin FaML 78 6 0 12 Oct 2022
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation Indra Elizabeth Kumar Keegan E. Hines John P. Dickerson FaML 84 23 0 05 Oct 2022
Experiential Benefits of Interactive Conflict Negotiation Practices in Computer-Supported Shift Planning Alarith Uhde Matthias Laschke Marc Hassenzahl 17 1 0 26 Sep 2022
Equitable Marketplace Mechanism Design Kshama Dwarakanath Svitlana Vyetrenko T. Balch 129 1 0 22 Sep 2022
iFlipper: Label Flipping for Individual Fairness Hantian Zhang Ki Hyun Tae Jaeyoung Park Xu Chu Steven Euijong Whang 101 10 0 15 Sep 2022
RecSys Fairness Metrics: Many to Use But Which One To Choose? Jessie J. Smith Lex Beattie 67 4 0 08 Sep 2022
Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions Quan-Gen Zhou Ramen Ghosh Robert Shorten Jakub Mareˇcek 119 1 0 03 Sep 2022
Fair mapping Sébastien Gambs Rosin Claude Ngueveu 77 0 0 01 Sep 2022
LUCID: Exposing Algorithmic Bias through Inverse Design Carmen Mazijn Carina E. A. Prunkl Andres Algaba J. Danckaert Vincent Ginis SyDa 88 4 0 26 Aug 2022
Modelling the long-term fairness dynamics of data-driven targeted help on job seekers S. Scher Simone Kopeinik A. Trugler Dominik Kowald 145 9 0 17 Aug 2022
Fairness and Randomness in Machine Learning: Statistical Independence and Relativization Rabanus Derr Robert C. Williamson FaML 36 4 0 27 Jul 2022
Verifying Fairness in Quantum Machine Learning J. Guan Wang Fang Mingsheng Ying FaML 56 11 0 22 Jul 2022
Respect as a Lens for the Design of AI Systems W. Seymour Max Van Kleek Reuben Binns Dave Murray-Rust FaML 23 8 0 15 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
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 58 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
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks Kiarash Mohammadi Aishwarya Sivaraman G. Farnadi 100 5 0 01 Jun 2022
Fairness in Recommender Systems: Research Landscape and Future Directions Yashar Deldjoo Dietmar Jannach Alejandro Bellogín Alessandro Difonzo Dario Zanzonelli OffRL FaML 129 94 0 23 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
CertiFair: A Framework for Certified Global Fairness of Neural Networks Haitham Khedr Yasser Shoukry FedML 80 23 0 20 May 2022
Accurate Fairness: Improving Individual Fairness without Trading Accuracy Xuran Li Peng Wu Jing Su FaML 67 19 0 18 May 2022
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness Yuri Nakao Simone Stumpf Subeida Ahmed A. Naseer Lorenzo Strappelli 63 32 0 22 Apr 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 214 115 0 21 Apr 2022
Fair Algorithm Design: Fair and Efficacious Machine Scheduling April Niu Agnes Totschnig A. Vetta FaML 67 3 0 13 Apr 2022
The Long Arc of Fairness: Formalisations and Ethical Discourse Pola Schwöbel Peter Remmers 70 18 0 08 Mar 2022
An Exploration of Multicalibration Uniform Convergence Bounds Harrison Rosenberg Robi Bhattacharjee Kassem Fawaz S. Jha 55 1 0 09 Feb 2022
Optimal Transport of Classifiers to Fairness Maarten Buyl T. D. Bie FaML 51 11 0 08 Feb 2022
Fairness of Machine Learning Algorithms in Demography I. Emmanuel E. Mitrofanova FaML 61 0 0 02 Feb 2022
Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities Mi-Gyoung Cho A. Mashhadi FedML 65 2 0 20 Jan 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 37 6 0 13 Jan 2022
Learning Fair Node Representations with Graph Counterfactual Fairness Jing Ma Ruocheng Guo Mengting Wan Longqi Yang Aidong Zhang Jundong Li FaML 121 81 0 10 Jan 2022
Unified Group Fairness on Federated Learning Fengda Zhang Kun Kuang Yuxuan Liu Long Chen Chao-Xiang Wu Leilei Gan Jiaxun Lu Yunfeng Shao Jun Xiao FedML 121 20 0 09 Nov 2021
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 97 29 0 25 Oct 2021
Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities A. Péry Majid Rafiei Michael Simon Wil M.P. van der Aalst 80 10 0 06 Oct 2021
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 76 101 0 27 Sep 2021
A Systematic Approach to Group Fairness in Automated Decision Making Corinna Hertweck Christoph Heitz FaML 49 2 0 09 Sep 2021
A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets Gonzalo Nápoles Lisa Koutsoviti Koumeri 43 17 0 20 Aug 2021
What will it take to generate fairness-preserving explanations? Jessica Dai Sohini Upadhyay Stephen H. Bach Himabindu Lakkaraju FAtt FaML 53 14 0 24 Jun 2021
Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI Kiana Alikhademi Brianna Richardson E. Drobina J. Gilbert 60 33 0 14 Jun 2021
Assessing Multilingual Fairness in Pre-trained Multimodal Representations Jialu Wang Yang Liu Xinze Wang EGVM 102 37 0 12 Jun 2021
What is fair? Exploring the artists' perspective on the fairness of music streaming platforms Andrés Ferraro Xavier Serra Christine Bauer 100 35 0 04 Jun 2021