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 / 55 papers shown

Title
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation Lin Zhu Yijun Bian Lei You TDI 31 0 0 16 May 2025
Causally Fair Node Classification on Non-IID Graph Data Yucong Dai Lu Zhang Yaowei Hu Susan Gauch Yongkai Wu FaML 50 0 0 03 May 2025
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair Arya Fayyazi M. Kamal Massoud Pedram 31 0 0 10 Apr 2025
A Frank System for Co-Evolutionary Hybrid Decision-Making Federico Mazzoni Riccardo Guidotti Alessio Malizia 38 2 0 08 Mar 2025
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation Martin Mundt Anaelia Ovalle Felix Friedrich A Pranav Subarnaduti Paul Manuel Brack Kristian Kersting William Agnew 365 0 0 05 Feb 2025
It's complicated. The relationship of algorithmic fairness and non-discrimination regulations in the EU AI Act Kristof Meding FaML 79 1 0 22 Jan 2025
A Comprehensive Survey of Foundation Models in Medicine Wasif Khan Seowung Leem Kyle B. See Joshua K. Wong Shaoting Zhang R. Fang AI4CE LM&MA VLM 105 19 0 17 Jan 2025
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 41 0 0 16 Jul 2024
Reproducibility study of FairAC Gijs de Jong Macha J. Meijer Derck W. E. Prinzhorn Harold Ruiter 34 0 0 05 Jun 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 43 4 0 29 Apr 2024
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap Tianqi Kou 44 0 0 19 Apr 2024
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness Luca Deck Jan-Laurin Müller Conradin Braun Domenique Zipperling Niklas Kühl FaML 41 5 0 29 Mar 2024
On the (In)Compatibility between Group Fairness and Individual Fairness Shizhou Xu Thomas Strohmer FaML 24 2 0 13 Jan 2024
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model Teresa Scantamburlo Joachim Baumann Christoph Heitz FaML 33 5 0 09 Oct 2023
Software Doping Analysis for Human Oversight Sebastian Biewer Kevin Baum Sarah Sterz Holger Hermanns Sven Hetmank Markus Langer Anne Lauber-Rönsberg Franz Lehr 25 4 0 11 Aug 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 42 1 0 28 Jul 2023
Leveraging Contextual Counterfactuals Toward Belief Calibration Qiuyi Zhang Zhang Michael S. Lee Sherol Chen 29 1 0 13 Jul 2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness Zhenlan Ji Pingchuan Ma Shuai Wang Yanhui Li FaML 34 7 0 22 May 2023
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree Hilde J. P. Weerts Raphaële Xenidis Fabien Tarissan Henrik Palmer Olsen Mykola Pechenizkiy FaML 27 21 0 05 May 2023
Analysing Fairness of Privacy-Utility Mobility Models Yuting Zhan Hamed Haddadi A. Mashhadi 29 0 0 10 Apr 2023
Individual Fairness for Social Media Influencers Ş. Ionescu Nicolò Pagan Anikó Hannák FaML 27 2 0 19 Jan 2023
Robust Explanation Constraints for Neural Networks Matthew Wicker Juyeon Heo Luca Costabello Adrian Weller FAtt 31 18 0 16 Dec 2022
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data Minghong Fang Jia-Wei Liu Michinari Momma Yi Sun 38 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 21 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 46 21 0 05 Oct 2022
Experiential Benefits of Interactive Conflict Negotiation Practices in Computer-Supported Shift Planning Alarith Uhde Matthias Laschke Marc Hassenzahl 11 2 0 26 Sep 2022
iFlipper: Label Flipping for Individual Fairness Hantian Zhang Ki Hyun Tae Jaeyoung Park Xu Chu Steven Euijong Whang 33 6 0 15 Sep 2022
Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions Quan-Gen Zhou Ramen Ghosh Robert Shorten Jakub Mareˇcek 35 1 0 03 Sep 2022
Fair mapping Sébastien Gambs Rosin Claude Ngueveu 42 0 0 01 Sep 2022
Modelling the long-term fairness dynamics of data-driven targeted help on job seekers S. Scher Simone Kopeinik A. Trugler Dominik Kowald 40 9 0 17 Aug 2022
Verifying Fairness in Quantum Machine Learning J. Guan Wang Fang Mingsheng Ying FaML 24 11 0 22 Jul 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks Kiarash Mohammadi Aishwarya Sivaraman G. Farnadi 25 5 0 01 Jun 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 38 13 0 20 May 2022
CertiFair: A Framework for Certified Global Fairness of Neural Networks Haitham Khedr Yasser Shoukry FedML 26 20 0 20 May 2022
Accurate Fairness: Improving Individual Fairness without Trading Accuracy Xuran Li Peng Wu Jing Su FaML 33 17 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 29 34 0 22 Apr 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 34 113 0 21 Apr 2022
An Exploration of Multicalibration Uniform Convergence Bounds Harrison Rosenberg Robi Bhattacharjee Kassem Fawaz S. Jha 22 1 0 09 Feb 2022
Optimal Transport of Classifiers to Fairness Maarten Buyl T. D. Bie FaML 13 10 0 08 Feb 2022
Fairness of Machine Learning Algorithms in Demography I. Emmanuel E. Mitrofanova FaML 14 0 0 02 Feb 2022
Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities Mi-Gyoung Cho A. Mashhadi FedML 39 1 0 20 Jan 2022
Learning Fair Node Representations with Graph Counterfactual Fairness Jing Ma Ruocheng Guo Mengting Wan Longqi Yang Aidong Zhang Jundong Li FaML 12 79 0 10 Jan 2022
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 22 26 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 29 9 0 06 Oct 2021
A Systematic Approach to Group Fairness in Automated Decision Making Corinna Hertweck Christoph Heitz FaML 13 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 29 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 18 14 0 24 Jun 2021
Assessing Multilingual Fairness in Pre-trained Multimodal Representations Jialu Wang Yang Liu Xinze Wang EGVM 26 35 0 12 Jun 2021
What is fair? Exploring the artists' perspective on the fairness of music streaming platforms Andrés Ferraro Xavier Serra Christine Bauer 19 35 0 04 Jun 2021
FiSH: Fair Spatial Hotspots Deepak P Sowmya S. Sundaram 35 1 0 01 Jun 2021