A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices

2 July 2018

Hoda Heidari

Papers citing "A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices"

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Title
Critical Appraisal of Fairness Metrics in Clinical Predictive AI João Matos Ben Van Calster Leo Anthony Celi Paula Dhiman J. Gichoya R. Riley Chris Russell Sara Khalid Gary S. Collins 10 0 0 20 Jun 2025
Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs) Anna Neumann Elisabeth Kirsten Muhammad Bilal Zafar Jatinder Singh 44 0 0 27 May 2025
Justified Evidence Collection for Argument-based AI Fairness Assurance Alpay Sabuncuoglu Christopher Burr Carsten Maple 65 0 0 12 May 2025
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study Dingyi Zhuang Hanyong Xu Xiaotong Guo Yunhan Zheng Shenhao Wang Jinhua Zhao 134 0 0 20 Jan 2025
Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management Catalina M Jaramillo Paul Squires Julian Togelius 136 2 0 25 Nov 2024
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift Oscar Blessed Deho Michael Bewong Selasi Kwashie Jiuyong Li Jixue Liu Lin Liu Srecko Joksimovic FaML 84 0 0 19 Sep 2024
Fooling SHAP with Output Shuffling Attacks Jun Yuan Aritra Dasgupta 79 1 0 12 Aug 2024
Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning Systems Chengwen Du Tao Chen 60 0 0 12 Aug 2024
"Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions Marco Favier Zhijun Li 32 0 0 01 Aug 2024
Auditing of AI: Legal, Ethical and Technical Approaches Jakob Mokander 87 44 0 07 Jul 2024
Formalising Anti-Discrimination Law in Automated Decision Systems Holli Sargeant Måns Magnusson FaML 106 0 0 29 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
Fair Mixed Effects Support Vector Machine Joao Vitor Pamplona J. P. Burgard FaML 65 1 0 10 May 2024
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment Nari Johnson Sanika Moharana Christina Harrington Nazanin Andalibi Hoda Heidari Motahhare Eslami 64 10 0 21 Apr 2024
Crossing the principle-practice gap in AI ethics with ethical problem-solving N. Corrêa James William Santos Camila Galvão Marcelo Pasetti Dieine Schiavon Faizah Naqvi Robayet Hossain N. D. Oliveira 74 5 0 16 Apr 2024
Procedural Fairness in Machine Learning Ziming Wang Changwu Huang Xin Yao FaML 77 2 0 02 Apr 2024
Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth Serdar Kadioğlu Filip Michalsky 39 2 0 12 Feb 2024
Reranking individuals: The effect of fair classification within-groups S. Goethals T. Calders FaML 84 1 0 24 Jan 2024
Transparency as Delayed Observability in Multi-Agent Systems Kshama Dwarakanath Svitlana Vyetrenko Toks Oyebode T. Balch AI4CE 116 0 0 10 Jan 2024
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System Xiaotong Guo Hanyong Xu Dingyi Zhuang Yunhan Zheng Jinhua Zhao 58 7 0 29 Dec 2023
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms Kristof Meding Thilo Hagendorff 55 7 0 12 Nov 2023
An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology Reza Khanmohammadi Mohammad Mahdi Ghassemi Kyle Verdecchia A. Ghanem Luo Bing ... H. Bagher-Ebadian Farzan Siddiqui Mohamed Elshaikh B. Movsas Kundan Thind LM&MA 73 2 0 03 Nov 2023
Metrics for popularity bias in dynamic recommender systems Valentijn Braun D. Bhaumik Diptish Dey 57 0 0 12 Oct 2023
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems Ashmi Banerjee Paromita Banik Wolfgang Wörndl 59 14 0 05 Sep 2023
Fairness in Preference-based Reinforcement Learning Umer Siddique Abhinav Sinha Yongcan Cao 62 5 0 16 Jun 2023
Diffused Redundancy in Pre-trained Representations Vedant Nanda Till Speicher John P. Dickerson Soheil Feizi Krishna P. Gummadi Adrian Weller SSL 57 3 0 31 May 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 70 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
Systemic Fairness Arindam Ray B. Padmanabhan Lina Bouayad FaML 61 0 0 14 Apr 2023
Bipol: A Novel Multi-Axes Bias Evaluation Metric with Explainability for NLP Lama Alkhaled Tosin Adewumi Sana Sabah Sabry 86 8 0 08 Apr 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 100 13 0 07 Apr 2023
Achieving Counterfactual Fairness with Imperfect Structural Causal Model Tri Dung Duong Qian Li Guandong Xu 56 2 0 26 Mar 2023
On the Richness of Calibration Benedikt Höltgen Robert C. Williamson 60 10 0 08 Feb 2023
On the Within-Group Fairness of Screening Classifiers Nastaran Okati Stratis Tsirtsis Manuel Gomez Rodriguez 100 2 0 31 Jan 2023
Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets Tosin Adewumi Isabella Sodergren Lama Alkhaled Sana Sabah Sabry F. Liwicki Marcus Liwicki 69 4 0 28 Jan 2023
Within-group fairness: A guidance for more sound between-group fairness Sara Kim Kyusang Yu Yongdai Kim FaML 122 1 0 20 Jan 2023
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
Fairify: Fairness Verification of Neural Networks Sumon Biswas Hridesh Rajan 79 26 0 08 Dec 2022
Towards Understanding Fairness and its Composition in Ensemble Machine Learning Usman Gohar Sumon Biswas Hridesh Rajan FaML FedML 79 26 0 08 Dec 2022
Deep Learning Training Procedure Augmentations Cristian Simionescu 100 1 0 25 Nov 2022
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 98 7 0 15 Nov 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 79 19 0 30 Oct 2022
Equitable Marketplace Mechanism Design Kshama Dwarakanath Svitlana Vyetrenko T. Balch 129 1 0 22 Sep 2022
Algorithmic decision making methods for fair credit scoring Darie Moldovan FaML 77 7 0 16 Sep 2022
Towards Fairness-Aware Multi-Objective Optimization Guo-Ding Yu Lianbo Ma W. Du WenLi Du Yaochu Jin FaML 83 7 0 22 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
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
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 37 10 0 06 Jun 2022