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"

48 / 48 papers shown

Title
Justified Evidence Collection for Argument-based AI Fairness Assurance Alpay Sabuncuoglu Christopher Burr Carsten Maple 31 0 0 12 May 2025
Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management Catalina M Jaramillo Paul Squires Julian Togelius 78 2 0 25 Nov 2024
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment Nari Johnson Sanika Moharana Christina Harrington Nazanin Andalibi Hoda Heidari Motahhare Eslami 28 8 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 46 4 0 16 Apr 2024
Procedural Fairness in Machine Learning Ziming Wang Changwu Huang Xin Yao FaML 55 0 0 02 Apr 2024
Metrics for popularity bias in dynamic recommender systems Valentijn Braun D. Bhaumik Diptish Dey 32 0 0 12 Oct 2023
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems Ashmi Banerjee Paromita Banik Wolfgang Wörndl 29 11 0 05 Sep 2023
Fairness in Preference-based Reinforcement Learning Umer Siddique Abhinav Sinha Yongcan Cao 19 4 0 16 Jun 2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness Zhenlan Ji Pingchuan Ma Shuai Wang Yanhui Li FaML 36 7 0 22 May 2023
Systemic Fairness Arindam Ray B. Padmanabhan Lina Bouayad FaML 27 0 0 14 Apr 2023
Achieving Counterfactual Fairness with Imperfect Structural Causal Model Tri Dung Duong Qian Li Guandong Xu 24 2 0 26 Mar 2023
On the Richness of Calibration Benedikt Höltgen Robert C. Williamson 13 9 0 08 Feb 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 41 4 0 28 Jan 2023
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
Towards Understanding Fairness and its Composition in Ensemble Machine Learning Usman Gohar Sumon Biswas Hridesh Rajan FaML FedML 16 24 0 08 Dec 2022
Deep Learning Training Procedure Augmentations Cristian Simionescu 11 1 0 25 Nov 2022
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 20 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 48 17 0 30 Oct 2022
Algorithmic decision making methods for fair credit scoring Darie Moldovan FaML 35 7 0 16 Sep 2022
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning Damien Dablain Bartosz Krawczyk Nitesh Chawla FaML 26 20 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 24 67 0 07 Jul 2022
Bias in Machine Learning Models Can Be Significantly Mitigated by Careful Training: Evidence from Neuroimaging Studies Rongguang Wang Pratik Chaudhari Christos Davatzikos OOD AI4CE 29 43 0 26 May 2022
De-biasing "bias" measurement K. Lum Yunfeng Zhang Amanda Bower 21 27 0 11 May 2022
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 15 29 0 02 Apr 2022
A Fair Empirical Risk Minimization with Generalized Entropy Young-Hwan Jin Jio Gim Tae-Jin Lee Young-Joo Suh FaML 22 1 0 24 Feb 2022
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics Tomo Lazovich Luca Belli Aaron Gonzales Amanda Bower U. Tantipongpipat K. Lum Ferenc Huszár Rumman Chowdhury 20 17 0 03 Feb 2022
Fairness of Machine Learning Algorithms in Demography I. Emmanuel E. Mitrofanova FaML 14 0 0 02 Feb 2022
Dataset Geography: Mapping Language Data to Language Users Fahim Faisal Yinkai Wang Antonios Anastasopoulos 75 23 0 07 Dec 2021
Profit equitably: An investigation of market maker's impact on equitable outcomes Kshama Dwarakanath Svitlana Vyetrenko T. Balch 27 3 0 29 Oct 2021
SD-QA: Spoken Dialectal Question Answering for the Real World Fahim Faisal Sharlina Keshava ibn Alam Antonios Anastasopoulos 117 29 0 24 Sep 2021
Machine Translation into Low-resource Language Varieties Sachin Kumar Antonios Anastasopoulos S. Wintner Yulia Tsvetkov 11 29 0 12 Jun 2021
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 26 112 0 02 Jun 2021
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards Umer Siddique Paul Weng Matthieu Zimmer FaML OffRL 22 84 0 18 Aug 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 15 39 0 26 May 2020
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy Bashir Rastegarpanah M. Crovella Krishna P. Gummadi FaML 21 8 0 19 May 2020
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness Nina Grgic-Hlaca Gabriel Lima Adrian Weller Elissa M. Redmiles FaML 31 38 0 02 May 2020
Fair Active Learning Hadis Anahideh Abolfazl Asudeh Saravanan Thirumuruganathan FaML 46 51 0 06 Jan 2020
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision Hanchen Wang Nina Grgic-Hlaca Preethi Lahoti Krishna P. Gummadi Adrian Weller FaML 27 25 0 22 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 41 6,125 0 22 Oct 2019
Measuring Unfairness through Game-Theoretic Interpretability Juliana Cesaro Fabio Gagliardi Cozman FAtt 16 13 0 12 Oct 2019
Operationalizing Individual Fairness with Pairwise Fair Representations Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 27 101 0 02 Jul 2019
Fairness and Missing Values Fernando Martínez-Plumed Cesar Ferri David Nieves José Hernández-Orallo 16 28 0 29 May 2019
Fairness risk measures Robert C. Williamson A. Menon FaML 22 135 0 24 Jan 2019
Bias Mitigation Post-processing for Individual and Group Fairness P. Lohia Karthikeyan N. Ramamurthy M. Bhide Diptikalyan Saha Kush R. Varshney Ruchir Puri FaML 13 155 0 14 Dec 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde ... Diptikalyan Saha P. Sattigeri Moninder Singh Kush R. Varshney Yunfeng Zhang FaML SyDa 65 796 0 03 Oct 2018
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity Hoda Heidari M. Loi Krishna P. Gummadi Andreas Krause FaML 14 120 0 10 Sep 2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making Hoda Heidari Claudio Ferrari Krishna P. Gummadi Andreas Krause 20 128 0 13 Jun 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016