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.
CITATION STYLE
Boutin, A., Desmoulin-Canselier, S., & Lévêque, L. (2023). On Legal and Ethical Challenges of Automatic Facial Expression Recognition: An Exploratory Study. In IMX 2023 - Proceedings of the 2023 ACM International Conference on Interactive Media Experiences (pp. 226–229). Association for Computing Machinery, Inc. https://doi.org/10.1145/3573381.3597217
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