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

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

10 May 2022

V. V. Ramaswamy

Olga Russakovsky

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

17 / 17 papers shown

Title
Interpretable and Fair Mechanisms for Abstaining Classifiers Daphne Lenders Andrea Pugnana Roberto Pellungrini Toon Calders D. Pedreschi F. Giannotti FaML 82 1 0 24 Mar 2025
A Tutorial On Intersectionality in Fair Rankings Chiara Criscuolo Davide Martinenghi Giuseppe Piccirillo FaML 65 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 62 1 0 22 Jan 2025
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 29 3 0 29 Aug 2024
Addressing Discretization-Induced Bias in Demographic Prediction Evan Dong Aaron Schein Yixin Wang Nikhil Garg 27 3 0 27 May 2024
A structured regression approach for evaluating model performance across intersectional subgroups Christine Herlihy Kimberly Truong Alexandra Chouldechova Miroslav Dudik 22 4 0 26 Jan 2024
"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 27 159 0 13 Oct 2023
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 33 20 0 03 Sep 2023
The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics Matthias Orlikowski Paul Röttger Philipp Cimiano Italy 19 26 0 20 Jun 2023
Diversity and Inclusion in Artificial Intelligence Didar Zowghi F. Rimini 6 26 0 22 May 2023
An Empirical Analysis of Fairness Notions under Differential Privacy Anderson Santana de Oliveira Caelin Kaplan Khawla Mallat Tanmay Chakraborty FedML 8 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 19 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 34 188 0 11 Oct 2022
When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction Vinith M. Suriyakumar Marzyeh Ghassemi Berk Ustun 22 6 0 04 Jun 2022
Characterizing Intersectional Group Fairness with Worst-Case Comparisons A. Ghosh Lea Genuit Mary Reagan FaML 79 51 0 05 Jan 2021
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 161 312 0 30 Oct 2017