Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation

10 May 2022

Papers citing "Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation"

50 / 50 papers shown

Title
SHAP-based Explanations are Sensitive to Feature Representation Hyunseung Hwang Andrew Bell Joao Fonseca Venetia Pliatsika Julia Stoyanovich Steven Euijong Whang TDI FAtt 37 0 0 13 May 2025
A Preliminary Framework for Intersectionality in ML Pipelines Michelle Nashla Turcios Alicia Boyd Angela D.R. Smith Brittany Johnson 19 0 0 06 May 2025
Taxonomizing Representational Harms using Speech Act Theory Emily Corvi Hannah Washington Stefanie Reed Chad Atalla Alexandra Chouldechova ... Nicholas Pangakis Emily Sheng Dan Vann Matthew Vogel Hanna M. Wallach 50 0 0 01 Apr 2025
Interpretable and Fair Mechanisms for Abstaining Classifiers Daphne Lenders Andrea Pugnana Roberto Pellungrini Toon Calders D. Pedreschi F. Giannotti FaML 93 1 0 24 Mar 2025
BiasConnect: Investigating Bias Interactions in Text-to-Image Models Pushkar Shukla Aditya Chinchure Emily Diana A. Tolbert K. Hosanagar Vineeth N. Balasubramanian Leonid Sigal Matthew A. Turk 51 0 0 12 Mar 2025
Talking About the Assumption in the Room Ramaravind Kommiya Mothilal Faisal M. Lalani Syed Ishtiaque Ahmed Shion Guha Sharifa Sultana 61 0 0 20 Feb 2025
A Tutorial On Intersectionality in Fair Rankings Chiara Criscuolo Davide Martinenghi Giuseppe Piccirillo FaML 72 0 0 07 Feb 2025
It's complicated. The relationship of algorithmic fairness and non-discrimination regulations in the EU AI Act Kristof Meding FaML 76 1 0 22 Jan 2025
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software Zhenpeng Chen Xinyue Li Jingyang Zhang Federica Sarro Yang Liu FaML 83 2 0 11 Dec 2024
The Intersectionality Problem for Algorithmic Fairness Johannes Himmelreich Arbie Hsu Kristian Lum Ellen Veomett FaML 39 0 0 04 Nov 2024
Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based Recommendations Shahnewaz Karim Sakib Anindya Bijoy Das 31 2 0 17 Sep 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 39 3 0 29 Aug 2024
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness Kacy Zhou Jiawen Wen Nan Yang Dong Yuan Qinghua Lu Huaming Chen 22 1 0 25 Jun 2024
Addressing Discretization-Induced Bias in Demographic Prediction Evan Dong Aaron Schein Yixin Wang Nikhil Garg 40 3 0 27 May 2024
Lazy Data Practices Harm Fairness Research Jan Simson Alessandro Fabris Christoph Kern 28 5 0 26 Apr 2024
Intersectional Two-sided Fairness in Recommendation Yifan Wang Peijie Sun Weizhi Ma Min Zhang Yuan Zhang Peng Jiang Shaoping Ma FaML 42 8 0 05 Feb 2024
A structured regression approach for evaluating model performance across intersectional subgroups Christine Herlihy Kimberly Truong Alexandra Chouldechova Miroslav Dudik 44 4 0 26 Jan 2024
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology Emma Harvey Hauke Sandhaus Abigail Z. Jacobs Emanuel Moss Mona Sloane 26 3 0 19 Jan 2024
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing Lucas Monteiro Paes A. Suresh Alex Beutel Flavio du Pin Calmon Ahmad Beirami 38 3 0 06 Dec 2023
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples Phillip Howard Avinash Madasu Tiep Le Gustavo Lujan Moreno Anahita Bhiwandiwalla Vasudev Lal 57 16 0 30 Nov 2023
CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations Myra Cheng Tiziano Piccardi Diyi Yang LLMAG 18 68 0 17 Oct 2023
Efficient Model-Agnostic Multi-Group Equivariant Networks Razan Baltaji Sourya Basu L. Varshney 37 1 0 14 Oct 2023
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters Yixin Wan George Pu Jiao Sun Aparna Garimella Kai-Wei Chang Nanyun Peng 34 162 0 13 Oct 2023
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction Zhengyuan Yang Levent Sagun Yizhou Sun 39 2 0 29 Sep 2023
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 48 21 0 03 Sep 2023
Queering the ethics of AI E. Fosch-Villaronga Gianclaudio Malgieri 24 0 0 25 Aug 2023
The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics Matthias Orlikowski Paul Röttger Philipp Cimiano Italy 34 26 0 20 Jun 2023
Correcting Underrepresentation and Intersectional Bias for Classification Emily Diana A. Tolbert FaML 29 1 0 19 Jun 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements Maryam Molamohammadi Afaf Taik Nicolas Le Roux G. Farnadi 37 1 0 11 Jun 2023
Evaluating the Social Impact of Generative AI Systems in Systems and Society Irene Solaiman Zeerak Talat William Agnew Lama Ahmad Dylan K. Baker ... Marie-Therese Png Shubham Singh A. Strait Lukas Struppek Arjun Subramonian ELM EGVM 41 104 0 09 Jun 2023
Run Like a Girl! Sports-Related Gender Bias in Language and Vision S. Harrison Eleonora Gualdoni Gemma Boleda 30 6 0 23 May 2023
Diversity and Inclusion in Artificial Intelligence Didar Zowghi F. Rimini 19 26 0 22 May 2023
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges Usman Gohar Lu Cheng FaML 35 31 0 11 May 2023
Coarse race data conceals disparities in clinical risk score performance Rajiv Movva Divya Shanmugam Kaihua Hou P. Pathak John Guttag Nikhil Garg Emma Pierson 13 17 0 18 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 42 36 0 16 Mar 2023
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference Jose M. Alvarez Salvatore Ruggieri 30 13 0 23 Feb 2023
On the Richness of Calibration Benedikt Höltgen Robert C. Williamson 13 9 0 08 Feb 2023
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness Felix Friedrich Manuel Brack Lukas Struppek Dominik Hintersdorf P. Schramowski Sasha Luccioni Kristian Kersting 38 120 0 07 Feb 2023
An Empirical Analysis of Fairness Notions under Differential Privacy Anderson Santana de Oliveira Caelin Kaplan Khawla Mallat Tanmay Chakraborty FedML 21 7 0 06 Feb 2023
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 34 22 0 23 Nov 2022
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction Renee Shelby Shalaleh Rismani Kathryn Henne AJung Moon Negar Rostamzadeh ... N'Mah Yilla-Akbari Jess Gallegos A. Smart Emilio Garcia Gurleen Virk 45 188 0 11 Oct 2022
Context matters for fairness -- a case study on the effect of spatial distribution shifts Siamak Ghodsi Harith Alani Eirini Ntoutsi 30 2 0 23 Jun 2022
When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction Vinith Suriyakumar Marzyeh Ghassemi Berk Ustun 38 6 0 04 Jun 2022
How Biased are Your Features?: Computing Fairness Influence Functions with Global Sensitivity Analysis Bishwamittra Ghosh D. Basu Kuldeep S. Meel FaML 12 9 0 01 Jun 2022
Sex Trouble: Common pitfalls in incorporating sex/gender in medical machine learning and how to avoid them Kendra Albert Maggie K. Delano FaML 24 11 0 15 Mar 2022
Fairness Implications of Encoding Protected Categorical Attributes Carlos Mougan J. Álvarez Salvatore Ruggieri Steffen Staab FaML 29 14 0 27 Jan 2022
Characterizing Intersectional Group Fairness with Worst-Case Comparisons A. Ghosh Lea Genuit Mary Reagan FaML 94 51 0 05 Jan 2021
Learning from Discriminatory Training Data Przemyslaw A. Grabowicz Nicholas Perello Kenta Takatsu FaML 20 1 0 17 Dec 2019
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 169 314 0 30 Oct 2017