Racial categories in machine learning

28 November 2018

Papers citing "Racial categories in machine learning"

23 / 23 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
Evaluating LLMs for Gender Disparities in Notable Persons L. Rhue Sofie Goethals Arun Sundararajan 52 5 0 14 Mar 2024
Racial Bias within Face Recognition: A Survey Seyma Yucer Furkan Tektas Noura Al Moubayed T. Breckon FaML 38 10 0 01 May 2023
Normalizing Flows for Human Pose Anomaly Detection Or Hirschorn S. Avidan 3DH 22 46 0 20 Nov 2022
A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter Kyra Yee Alice Schoenauer Sebag Olivia Redfield Emily Sheng Matthias Eck Luca Belli 28 2 0 07 Oct 2022
A Human Rights-Based Approach to Responsible AI Vinodkumar Prabhakaran Margaret Mitchell Timnit Gebru Iason Gabriel 51 36 0 06 Oct 2022
Constant-Factor Approximation Algorithms for Socially Fair $k$ -Clustering Mehrdad Ghadiri Mohit Singh Santosh Vempala 21 10 0 22 Jun 2022
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation Angelina Wang V. V. Ramaswamy Olga Russakovsky FaML 29 92 0 10 May 2022
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches Lindsay Weinberg FaML SyDa 32 58 0 06 May 2022
Interactive Model Cards: A Human-Centered Approach to Model Documentation Anamaria Crisan Margaret Drouhard Jesse Vig Nazneen Rajani HAI 40 87 0 05 May 2022
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers Kenny Peng Arunesh Mathur Arvind Narayanan 101 94 0 06 Aug 2021
Disaggregated Interventions to Reduce Inequality Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 42 13 0 01 Jul 2021
Fairness for Image Generation with Uncertain Sensitive Attributes A. Jalal Sushrut Karmalkar Jessica Hoffmann A. Dimakis Eric Price DiffM 35 39 0 23 Jun 2021
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs Solon Barocas Anhong Guo Ece Kamar J. Krones Meredith Ringel Morris Jennifer Wortman Vaughan Duncan Wadsworth Hanna M. Wallach 35 74 0 10 Mar 2021
About Face: A Survey of Facial Recognition Evaluation Inioluwa Deborah Raji G. Fried CVBM 30 54 0 01 Feb 2021
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness Mckane Andrus Elena Spitzer Jeffrey Brown Alice Xiang 27 126 0 30 Oct 2020
Conservative AI and social inequality: Conceptualizing alternatives to bias through social theory Mike Zajko 21 37 0 16 Jul 2020
Addressing multiple metrics of group fairness in data-driven decision making M. Miron Songül Tolan Emilia Gómez Carlos Castillo FaML 19 8 0 10 Mar 2020
Theory In, Theory Out: The uses of social theory in machine learning for social science J. Radford K. Joseph 8 44 0 09 Jan 2020
Measurement and Fairness Abigail Z. Jacobs Hanna M. Wallach 14 381 0 11 Dec 2019
Bias Remediation in Driver Drowsiness Detection systems using Generative Adversarial Networks Mkhuseli Ngxande J. Tapamo Michael G. Burke 33 38 0 10 Dec 2019
Causal Modeling for Fairness in Dynamical Systems Elliot Creager David Madras T. Pitassi R. Zemel 29 67 0 18 Sep 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016