论文标题
发掘“挖掘AI”：画廊中的大象
Excavating "Excavating AI": The Elephant in the Gallery
论文作者
论文摘要
凯特·克劳福德（Kate Crawford）和特雷弗·帕格伦（Trevor Paglen）的两个艺术展览“培训人类”和“制作面孔”以及随附的论文“挖掘AI：机器学习训练集中的图像政治”正在对社会和大众媒体网络中的话语产生重大影响。然而，批判性审查表明，关于使用面部图像的知情同意，一种自相矛盾的立场以及对ML训练集的批评中的严重缺陷。我们的分析强调了在艺术和其他环境中使用人类数据时知情同意的非谈判性，并阐明了与ML培训集的描述有关的问题。
Two art exhibitions, "Training Humans" and "Making Faces," and the accompanying essay "Excavating AI: The politics of images in machine learning training sets" by Kate Crawford and Trevor Paglen, are making substantial impact on discourse taking place in the social and mass media networks, and some scholarly circles. Critical scrutiny reveals, however, a self-contradictory stance regarding informed consent for the use of facial images, as well as serious flaws in their critique of ML training sets. Our analysis underlines the non-negotiability of informed consent when using human data in artistic and other contexts, and clarifies issues relating to the description of ML training sets.
