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Data-driven Artificial Social Intelligence: From Social Appropriateness to Fairness

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If you have a question about this talk, please contact Dr Dervila Glynn.

Theme: Social Behaviour & Communication

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.

Dr Hatice Gunes (Senior Member, IEEE ) received the Ph.D. degree in computer science from the University of Technology Sydney, Australia. She is a Reader with the Department of Computer Science and Technology, University of Cambridge, UK, leading the Affective Intelligence and Robotics (AFAR) Lab. Her expertise is in the areas of affective computing and social signal processing cross-fertilizing research in multimodal interaction, computer vision, signal processing, machine learning and social robotics. Dr Gunes’ team has published over 120 papers in these areas (H-index=33, citations > 5,600) and has received various awards and competitive grants, with funding from the Engineering and Physical Sciences Research Council UK (EPSRC), Innovate UK, British Council, and EU Horizon 2020. Dr Gunes is the former President of the Association for the Advancement of Affective Computing (2017-2019), the General Co-Chair of ACII 2019 , and the Program Co-Chair of ACM /IEEE HRI 2020 and IEEE FG 2017 . She was the Chair of the Steering Board of IEEE Transactions on Affective Computing in the period of 2017-2019. She has also served as an Associate Editor for IEEE Transactions on Affective Computing, IEEE Transactions on Multimedia, and Image and Vision Computing Journal. In 2019, Dr Gunes has been awarded the prestigious EPSRC Fellowship to investigate adaptive robotic emotional intelligence for well-being (2019-2024) and has been named a Faculty Fellow of the Alan Turing Institute – UK’s national centre for data science and artificial intelligence.

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