Open Dialogue
A.I. Can’t Detect Our Emotions
A conversation with the professor who just turned down a $60,000 grant from Google
Emotion A.I., affective computing, and artificial emotional intelligence are all fields creating technology to understand, respond to, measure, and simulate human emotions. Hope runs so high for these endeavors that the projected market value for emotional A.I. is $91.67 billion by 2024. A few examples are revealing: The automotive industry sees value in algorithms determining when drivers are distracted and drowsy. Companies see value in algorithms analyzing how customer support agents talk and computationally coaching them to be better speakers. And researchers see value in children with autism using A.I.-infused glasses to interpret the facial reactions conveyed by people around them.
Not everyone, however, is smiling about emotion-sensing A.I. Indeed, strong criticism is pervasive and high-profile controversies are grabbing headlines. For example, there’s been considerable pushback against companies unfairly using emotion detection and analysis software during interviews to determine a candidate’s “employability score.” The AI Now research institute even called for a ban on emotion-recognition technologies “in important decisions that impact people’s lives.”
