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Emotion AI: Utopian Promises, Dystopian Realities
Emotion AI, a branch of affective computing, promises to algorithmically detect, infer, or predict people’s emotions, moods, and mental states. These systems are rapidly spreading, from entertainment and consumer technologies to education, healthcare, and the workplace, despite an absence of regulation in the United States and weak regulatory efforts in the European Union.
Drawing on a series of empirical studies with diverse social groups as well as critical analyses of emotion-AI technologies, scholarly narratives, and patents, this talk by Prof. Dr. Nazanin Andalibi (University of Michigan, USA) examines how emotion AI amplifies existing inequities and produces new forms of harm. Rather than promoting well-being, fairness, or improved conditions, emotion AI disproportionately burdens marginalized communities, deepens identity-based vulnerabilities, and exacerbates the very structural challenges its proponents claim it will remedy.