mlsanityData to 7 Oct 2026

An Ethical Highlighter for People-Centric Dataset Creation

arXiv 2011.13583 ↗First posted 27 Nov 2020cs.CY cs.CV cs.DBcited by 12

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Abstract (arXiv)

Important ethical concerns arising from computer vision datasets of people have been receiving significant attention, and a number of datasets have been withdrawn as a result. To meet the academic need for people-centric datasets, we propose an analytical framework to guide ethical evaluation of existing datasets and to serve future dataset creators in avoiding missteps. Our work is informed by a review and analysis of prior works and highlights where such ethical challenges arise.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Nov 2020.

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Citing papers per year: 2021: 4; 2022: 2; 2023: 3; 2024: 3.

12 papers.