An Ethical Highlighter for People-Centric Dataset Creation
arXiv:2011.13583
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from computer vision datasets of people have been receiving significant attention, and a number of datasets have been withdrawn as a result.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.
Part of the Navigating the Broader Impacts of AI Research Workshop at NeurIPS 2020