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An Ethical Highlighter for People-Centric Dataset Creation

2020-11-27 07:18:44
Margot Hanley, Apoorv Khandelwal, Hadar Averbuch-Elor, Noah Snavely, Helen Nissenbaum
arXiv_CV
       
Abstract

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from computer vision datasets of people have been receiving significant attention, and a number of datasets have been withdrawn as a result.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.

Abstract (translated)

URL

https://arxiv.org/abs/2011.13583

PDF

https://arxiv.org/pdf/2011.13583.pdf

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