Technosocial risks of ideal emotion recognition technologies: A defense of the (social) value of emotional expressions
Alexandra Pregent

TL;DR
This paper critically examines ideal emotion recognition technologies (ERTs), arguing that their deployment risks undermining social functions of emotional expression and advocating for regulatory approaches that preserve expressive discretion.
Contribution
It challenges the assumption that increased affective transparency benefits social life by analyzing the social functions of emotional expressions and the risks posed by ideal ERTs.
Findings
Ideal ERTs threaten social cohesion by collapsing epistemic friction.
Affectively transparent systems can displace relational meaning and reduce expressive diversity.
Regulatory restraint may be justified to protect social goods related to emotional expression.
Abstract
The prospect of AI systems that I call ideal emotion recognition technologies (ERTs) is often defended on the assumption that social life would benefit from increased affective transparency. This paper challenges that assumption by examining the technosocial risks posed by ideal ERTs, understood as multimodal systems capable of reliably inferring inner affective states in real time. Drawing on philosophical accounts of emotional expression and social practice, as well as empirical work in affective science and social psychology, I argue that the appeal of such systems rests on a misunderstanding of the social functions of emotional expression. Emotional expressions function not only as read-outs of inner states, but also as tools for coordinating action, enabling moral repair, sustaining interpersonal trust, and supporting collective norms. These functions depend on a background of…
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Taxonomy
TopicsNeuroethics, Human Enhancement, Biomedical Innovations · Emotion and Mood Recognition · Emotions and Moral Behavior
