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from computer vision datasets of people have been receiving significant attention, and a number of datasets have been withdrawn as a result.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

翻译：为了满足学术上对以人为中心的数据集的需要,我们提议了一个分析框架,用以指导对现有数据集的道德评估,并为未来的数据集创建者服务,以避免出现错误。我们的工作参考了对以前工作的审查和分析,并突出了出现这种道德挑战之处。