Social intelligence is at the core of both human and artificial intelligence. From a young age, humans can understand, interact, collaborate, and communicate with each other. Most of what we learn is taught by others, or learned in a social context. Thus, a truly intelligent AI agent should be able to understand and work with humans as well as other AI agents.
This workshop focuses on the challenges and developments in building AI systems equipped with social intelligence, and leverages theories and insights from studies of human social intelligence for achieving such goals. In particular, the workshop will explore what it would take for machines to:
Understand the behaviors and mental states of humans
Engage in rich and complex interactions with humans
The workshop will bring together experts from cognitive science and developmental psychology to better understand the principles and origins of human social intelligence, and experts from AI and Robotics, to discuss how to engineer socially intelligent artificial agents, and how these paradigms can be deployed in both virtual and real scenarios.