Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches

6 May 2022

Papers citing "Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches"

8 / 8 papers shown

Title
Bridging Research and Practice Through Conversation: Reflecting on Our Experience Mayra Russo Mackenzie Jorgensen Kristen M. Scott Wendy Xu Di H. Nguyen Jessie Finocchiaro Matthew Olckers 28 1 0 25 Aug 2024
Towards a Non-Ideal Methodological Framework for Responsible ML Ramaravind Kommiya Mothilal Shion Guha Syed Ishtiaque Ahmed 40 7 0 20 Jan 2024
Machine Learning practices and infrastructures G. Berman 20 3 0 13 Jul 2023
AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia Rida Qadri Renee Shelby Cynthia L. Bennett Emily Denton 24 67 0 19 May 2023
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 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
Black Feminist Musings on Algorithmic Oppression Lelia Hampton FaML 37 53 0 25 Jan 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 311 4,203 0 23 Aug 2019