Abstract

Artificial intelligence (AI) is no longer limited to processing external data, but is increasingly embedded in decision-making processes across domains, from finance to consumer platforms. Advances in emotion-aware technologies enable AI systems to detect, interpret, and respond to users’ affective states through physiological, behavioral, and neural data. This convergence raises a fundamental question: What are the ethical boundaries of AI systems that can sense and act upon human emotions in decision-making contexts? While such technologies promise to enhance decision quality by increasing awareness of emotional biases, they also introduce new risks. Unlike traditional data-driven systems, emotion-aware AI operates on internal and often unconscious processes, creating the possibility of influencing decisions in ways that are not fully transparent or understood by users. At the same time, the ability to infer emotional states from physiological and behavioral data raises critical concerns about privacy, consent, and potential misuse of affective information.

Download

Share

COinS