An Ethical Highlighter for People-Centric Dataset Creation
Computers and Society
2020-11-30 v1 Computer Vision and Pattern Recognition
Databases
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from computer vision datasets of people have been receiving significant attention, and a number of datasets have been withdrawn as a result.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.
Keywords
Cite
@article{arxiv.2011.13583,
title = {An Ethical Highlighter for People-Centric Dataset Creation},
author = {Margot Hanley and Apoorv Khandelwal and Hadar Averbuch-Elor and Noah Snavely and Helen Nissenbaum},
journal= {arXiv preprint arXiv:2011.13583},
year = {2020}
}
Comments
Part of the Navigating the Broader Impacts of AI Research Workshop at NeurIPS 2020