Artificial intelligence is now everywhere and has the potential to changes all aspects of our lives. However, one major shortcoming of the AI today is that although it may have high IQ, it lacks EQ or emotional intelligence. In fact, the best AI system today does not have the emotional intelligence of a 2-year-old. For AI to transform our lives, AI must reach the next level. That is, any future AI system must have not only IQ but EQ. In this talk, I will draw insights from a century of psychological research on human emotion to discuss various methods AI developers can use to develop intelligent systems with affective artificial intelligence, or the ability to detect, decode, interpret, and simulate human affects.

Speaker Bio:

Kang Lee is Professor and Tier 1 CRC Chair in developmental neuroscience at the Universiteit of Toronto. For more than 2 decades, he has studied how children learn to process faces and how children learn to tell lies. Drawing from his discoveries in both fields, his team has developed a novel imaging system called Transdermal Optical Imaging that uses conventional video cameras to decode human physiology and emotions. Using this method, his team is developing a cloud-based affective artificial intelligence system DeepAffex as a core engine for affective artificial intelligence research and development.