A Taxonomy of Challenges to Curating Fair Datasets
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866913569295040512 |
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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 |