Twenty-five years ago, my colleagues Miyuki Kamachi and Jiro Gyoba and I designed and photographed JAFFE, a set of facial expression images intended for use in a study of face perception. In 2019, without seeking permission or informing us, Kate Crawford and Trevor Paglen exhibited JAFFE in two widely publicized art shows. In addition, they published a nonfactual account of the images in the essay "Excavating AI: The Politics of Images in Machine Learning Training Sets." The present article recounts the creation of the JAFFE dataset and unravels each of Crawford and Paglen's fallacious statements. I also discuss JAFFE more broadly in connection with research on facial expression, affective computing, and human-computer interaction.

中文翻译：

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“挖掘AI”再挖掘：揭穿JAFFE数据集的谬论

25 年前，我和同事 Miyuki Kamachi 和 Jiro Gyoba 设计并拍摄了 JAFFE，这是一组用于面部感知研究的面部表情图像。2019 年，凯特·克劳馥 (Kate Crawford) 和特雷弗·帕格伦 (Trevor Paglen) 在未经许可或通知我们的情况下，在两场广为宣传的艺术展中展出了 JAFFE。此外，他们还在论文“挖掘人工智能：机器学习训练集中的图像政治”中发表了对图像的非事实描述。本文讲述了 JAFFE 数据集的创建过程，并揭示了 Crawford 和 Paglen 的每一个谬论。我还在面部表情、情感计算和人机交互方面的研究中更广泛地讨论了 JAFFE。