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
Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression Kuniko Paxton Koorosh Aslansefat Dhavalkumar Thakker Y. Papadopoulos 22 0 0 13 Jun 2025
Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics Tin Trung Nguyen Jiannan Xu Zora Che Phuong-Anh Nguyen-Le Rushil Dandamudi Donald Braman Furong Huang Hal Daumé III Zubin Jelveh 74 0 0 25 May 2025
Marginal Fairness: Fair Decision-Making under Risk Measures Fei Huang Silvana M. Pesenti 9 0 0 24 May 2025
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation Lin Zhu Yijun Bian Lei You TDI 104 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 98 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 65 0 0 10 Apr 2025
A Frank System for Co-Evolutionary Hybrid Decision-Making Federico Mazzoni Riccardo Guidotti Alessio Malizia 79 2 0 08 Mar 2025
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study Nazarii Drushchak Vladyslava Tyshchenko Nataliya Polyakovska 94 0 0 27 Feb 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 725 0 0 05 Feb 2025
It's complicated. The relationship of algorithmic fairness and non-discrimination regulations for high-risk systems in the EU AI Act Kristof Meding FaML 141 2 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 282 27 0 17 Jan 2025
Revisiting Technical Bias Mitigation Strategies Abdoul Jalil Djiberou Mahamadou Artem A. Trotsyuk 116 1 0 22 Oct 2024
A Semidefinite Relaxation Approach for Fair Graph Clustering Sina Baharlouei Sadra Sabouri 58 0 0 19 Oct 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 119 1 0 16 Jul 2024
Formalising Anti-Discrimination Law in Automated Decision Systems Holli Sargeant Måns Magnusson FaML 106 0 0 29 Jun 2024
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness Kacy Zhou Jiawen Wen Nan Yang Dong Yuan Qinghua Lu Huaming Chen 46 1 0 25 Jun 2024
Achieving Fairness Across Local and Global Models in Federated Learning Disha Makhija Xing Han Joydeep Ghosh Yejin Kim FedML 75 8 0 24 Jun 2024
AIM: Attributing, Interpreting, Mitigating Data Unfairness Zhining Liu Ruizhong Qiu Zhichen Zeng Yada Zhu Hendrik Hamann Hanghang Tong FaML 94 7 0 13 Jun 2024
Reproducibility study of FairAC Gijs de Jong Macha J. Meijer Derck W. E. Prinzhorn Harold Ruiter 79 0 0 05 Jun 2024
Evaluating AI fairness in credit scoring with the BRIO tool Greta Coraglia Francesco Genco Pellegrino Piantadosi Enrico Bagli Pietro Giuffrida Davide Posillipo Giuseppe Primiero 62 3 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 74 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 126 1 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 81 5 0 29 Mar 2024
Reranking individuals: The effect of fair classification within-groups S. Goethals T. Calders FaML 84 1 0 24 Jan 2024
On the (In)Compatibility between Group Fairness and Individual Fairness Shizhou Xu Thomas Strohmer FaML 50 2 0 13 Jan 2024
Fairness Certification for Natural Language Processing and Large Language Models Vincent Freiberger Erik Buchmann 88 2 0 02 Jan 2024
Towards Mitigating Perceived Unfairness in Contracts from a Non-Legal Stakeholder's Perspective Anmol Singhal Preethu Rose Anish Shirish S. Karande S. Ghaisas AILaw 22 2 0 03 Dec 2023
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing Vincent Grari Thibault Laugel Tatsunori Hashimoto Sylvain Lamprier Marcin Detyniecki 99 3 0 27 Oct 2023
Fast Model Debias with Machine Unlearning Ruizhe Chen Jianfei Yang Huimin Xiong Jianhong Bai Tianxiang Hu Jinxiang Hao Yang Feng Qiufeng Wang Jian Wu Zuo-Qiang Liu MU 120 68 0 19 Oct 2023
Group-blind optimal transport to group parity and its constrained variants Quan-Gen Zhou Georgios Korpas 75 3 0 17 Oct 2023
A Critical Survey on Fairness Benefits of Explainable AI Luca Deck Jakob Schoeffer Maria De-Arteaga Niklas Kühl 117 13 0 15 Oct 2023
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model Teresa Scantamburlo Joachim Baumann Christoph Heitz FaML 65 6 0 09 Oct 2023
Survey of Social Bias in Vision-Language Models Nayeon Lee Yejin Bang Holy Lovenia Samuel Cahyawijaya Wenliang Dai Pascale Fung VLM 126 19 0 24 Sep 2023
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces A. Ehyaei Kiarash Mohammadi Amir-Hossein Karimi Samira Samadi G. Farnadi AAML 98 3 0 17 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 65 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 97 1 0 28 Jul 2023
AI and ethics in insurance: a new solution to mitigate proxy discrimination in risk modeling Marguerite Sauce Antoine Chancel Antoine Ly 69 0 0 25 Jul 2023
Fairness in KI-Systemen Janine Strotherm Alissa Müller Barbara Hammer Benjamin Paassen FaML 58 1 0 17 Jul 2023
Leveraging Contextual Counterfactuals Toward Belief Calibration Qiuyi Zhang Zhang Michael S. Lee Sherol Chen 65 1 0 13 Jul 2023
Insights From Insurance for Fair Machine Learning Christiane Fröhlich Robert C. Williamson FaML 70 8 0 26 Jun 2023
Towards Environmentally Equitable AI via Geographical Load Balancing Pengfei Li Jianyi Yang Adam Wierman Shaolei Ren 86 12 0 20 Jun 2023
The Flawed Foundations of Fair Machine Learning R. Poe Soumia Zohra El Mestari FaML 66 1 0 02 Jun 2023
Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness Evaluation Yifei Wang Zhengyang Zhou Liqin Wang John Laurentiev Peter Hou Li Zhou Pengyu Hong 72 0 0 29 May 2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness Zhenlan Ji Pingchuan Ma Shuai Wang Yanhui Li FaML 112 8 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 69 25 0 05 May 2023
Towards clinical AI fairness: A translational perspective Mingxuan Liu Yilin Ning Salinelat Teixayavong M. Mertens Jie Xu ... Ravi Chandran Narrendar Fei Wang Leo Anthony Celi M. Ong Nan Liu FaML 59 0 0 26 Apr 2023
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness Edward A. Small Kacper Sokol Daniel Manning Flora D. Salim Jeffrey Chan FaML 103 8 0 19 Apr 2023
Analysing Fairness of Privacy-Utility Mobility Models Yuting Zhan Hamed Haddadi A. Mashhadi 57 0 0 10 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 75 21 0 08 Apr 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 100 13 0 07 Apr 2023