The Challenge of Giving Artificial Intelligence ‘Emotional’ Intelligence

As impressive as recent advancements in areas of artificial intelligence such as facial recognition and autonomous devices, there remains much work to be done in the realm of “emotional intelligence,” as a panel of leading AI researchers conveyed this week at the World Economic Forum’s annual meeting. Here are some of key insights from the discussion. Context Is Everything Facial recognition algorithms track certain characteristic points on a person’s face, such as the corners of eyes or mouths, said Maja Pantic, professor of affective and behavioral computing at the Imperial College of London. Based on the movements of those one can reason about which emotions are being expressed. But higher level of interpretation take into account what the particular emotion means—whether it’s positive or negative, and what mental state it signifies, such…


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