Toward affective computing that works for everyone

Diversity and inclusion are critical aspects of the responsible development of artificial intelligence (AI) technologies, including affective computing. Affective computing, which focuses on recognizing, interpreting, and responding to human emotions, can revolutionize various domains, such as health care, education, and human-machine interaction. Capturing subjective states through technical means is challenging, though, and errors can occur, as seen with lie detectors not working adequately or gender classifier systems misgendering users.

artificial artificial intelligence computer sciences computing development diversity diversity and inclusion domains education emotions errors health health care human human emotions human-machine interaction inclusion intelligence machine technical technologies through