The importance and pervasiveness of emotions in our lives makes affective computing a tremendously important and vibrant line of work. Systems for automatic emotion recognition (AER) and sentiment analysis can be facilitators of enormous progress (e.g., in improving public health and commerce) but also enablers of great harm (e.g., for suppressing dissidents and manipulating voters). Thus, it is imperative that the affective computing community actively engage with the ethical ramifications of their creations. In this paper, I have synthesized and organized information from AI Ethics and Emotion Recognition literature to present fifty ethical considerations relevant to AER. Notably, the sheet fleshes out assumptions hidden in how AER is commonly framed, and in the choices often made regarding the data, method, and evaluation. Special attention is paid to the implications of AER on privacy and social groups. The objective of the sheet is to facilitate and encourage more thoughtfulness on why to automate, how to automate, and how to judge success well before the building of AER systems. Additionally, the sheet acts as a useful introductory document on emotion recognition (complementing survey articles).

中文翻译：

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自动情绪识别和情绪分析的道德表

情感在我们生活中的重要性和普遍性使情感计算成为一项极其重要和充满活力的工作。用于自动情绪识别 (AER) 和情绪分析的系统可以促进巨大进步（例如，在改善公共卫生和商业方面），但也会带来巨大危害（例如，压制持不同政见者和操纵选民）。因此，情感计算社区必须积极参与其创作的伦理后果。在本文中，我综合并整理了来自 AI 伦理和情感识别文献的信息，以展示与 AER 相关的 50 个伦理考虑。值得注意的是，该表充实了隐藏在 AER 通常如何构建以及在有关数据、方法和评估的选择中隐藏的假设。特别注意 AER 对隐私和社会群体的影响。该表的目的是促进和鼓励在构建 AER 系统之前更深入地思考为什么要自动化、如何自动化以及如何判断成功。此外，该表还可以作为情绪识别的有用介绍性文件（补充调查文章）。