On Legal and Ethical Challenges of Automatic Facial Expression Recognition: An Exploratory Study

Alex Boutin, Lucie Lévêque, Sonia Desmoulin-Canselier
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Abstract

Automatic facial expression recognition (FER) has a lot of potential applications. However, even if it can be beneficial for some areas, e.g. security and healthcare, several legal and ethical challenges arise. In this article, we first present such challenges related to the deployment of FER. Then, we introduce the conduct of a focus group which allowed to highlight interesting points regarding the use of FER in a medical context. Particularly, transparency, data management, diagnoses, liability, best endeavours obligation, and non-discrimination principle are debated. We finally discuss on our study’s limitations and directions for future work.
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面部表情自动识别的法律和伦理挑战:探索性研究
自动面部表情识别(FER)具有广泛的应用前景。然而,即使它对某些领域有益,例如安全和医疗保健,也会出现一些法律和道德挑战。在本文中,我们首先提出了与FER部署相关的挑战。然后,我们介绍了一个焦点小组的行为,该小组可以突出关于在医学背景下使用FER的有趣点。特别是在透明度、数据管理、诊断、责任、尽最大努力义务和不歧视原则方面进行了辩论。最后讨论了本研究的局限性和未来工作的方向。
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