Data-driven Artificial Social Intelligence: From Social Appropriateness to Fairness
Schedule
Tuesday, March 16, 2021
15:00 UTC
Hatice Gunes
Dr
Department of Computer Science and Technology, University of Cambridge
Host: Cambridge Neuro
Recording
Open recording
Event Information
Recording
Available
Host
Cambridge Neuro
Duration
70 minutes
Abstract
Designing artificially intelligent systems and interfaces with socio-emotional skills is a challenging task. Progress in industry and developments in academia provide us a positive outlook, however, the artificial social and emotional intelligence of the current technology is still limited. My lab’s research has been pushing the state of the art in a wide spectrum of research topics in this area, including the design and creation of new datasets; novel feature representations and learning algorithms for sensing and understanding human nonverbal behaviours in solo, dyadic and group settings; designing longitudinal human-robot interaction studies for wellbeing; and investigating how to mitigate the bias that creeps into these systems. In this talk, I will present some of my research team’s explorations in these areas including social appropriateness of robot actions, virtual reality based cognitive training with affective adaptation, and bias and fairness in data-driven emotionally intelligent systems.
Topics
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