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Main Authors: Zhao, Dora, Scheuerman, Morgan Klaus, Chitre, Pooja, Andrews, Jerone T. A., Panagiotidou, Georgia, Walker, Shawn, Pine, Kathleen H., Xiang, Alice
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2406.06407
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author Zhao, Dora
Scheuerman, Morgan Klaus
Chitre, Pooja
Andrews, Jerone T. A.
Panagiotidou, Georgia
Walker, Shawn
Pine, Kathleen H.
Xiang, Alice
author_facet Zhao, Dora
Scheuerman, Morgan Klaus
Chitre, Pooja
Andrews, Jerone T. A.
Panagiotidou, Georgia
Walker, Shawn
Pine, Kathleen H.
Xiang, Alice
contents Despite extensive efforts to create fairer machine learning (ML) datasets, there remains a limited understanding of the practical aspects of dataset curation. Drawing from interviews with 30 ML dataset curators, we present a comprehensive taxonomy of the challenges and trade-offs encountered throughout the dataset curation lifecycle. Our findings underscore overarching issues within the broader fairness landscape that impact data curation. We conclude with recommendations aimed at fostering systemic changes to better facilitate fair dataset curation practices.
format Preprint
id arxiv_https___arxiv_org_abs_2406_06407
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Taxonomy of Challenges to Curating Fair Datasets
Zhao, Dora
Scheuerman, Morgan Klaus
Chitre, Pooja
Andrews, Jerone T. A.
Panagiotidou, Georgia
Walker, Shawn
Pine, Kathleen H.
Xiang, Alice
Machine Learning
Computers and Society
Despite extensive efforts to create fairer machine learning (ML) datasets, there remains a limited understanding of the practical aspects of dataset curation. Drawing from interviews with 30 ML dataset curators, we present a comprehensive taxonomy of the challenges and trade-offs encountered throughout the dataset curation lifecycle. Our findings underscore overarching issues within the broader fairness landscape that impact data curation. We conclude with recommendations aimed at fostering systemic changes to better facilitate fair dataset curation practices.
title A Taxonomy of Challenges to Curating Fair Datasets
topic Machine Learning
Computers and Society
url https://arxiv.org/abs/2406.06407