
GAIPS Talk: “From Human Cooperation to AI Existential Risks: Unveiling Emergent Collective Behaviours through Game Theoretical Analysis” by The Ahn Han (TU)
On April 3, GAIPS from INESC-ID will host an open entrance talk by The Ahn Han from Teesside University. Professor Han will talk about current research regarding models for collective behaviours in evolving systems of multiple agents, be they robots, humans, or even human teams, in the light of Game Theory.
Date & Time: April 3, 10h30 – 11h30
Where: IST – Tagus Park, Porto Salvo (Room 1.38)
Abstract: “The mechanisms of emergence and evolution of collective behaviours in evolving systems of multiple interacting agents, be they robots, humans, or even human teams, have been undergoing mathematical study via evolutionary and behavioural modelling methods. Their systematic study also resorts to agent-based modelling and simulation techniques, thus enabling the study of aforesaid mechanisms under a variety of conditions, parameters, and alternative virtual games. Numerous important questions faced by several disciplines have been addressed, e.g. what are the mechanisms underlying the evolution of cooperative behaviour at various levels of organisation (from genes to human society)? How to mitigate existential risks such as those posed by climate change or advanced Artificial Intelligence? In this talk, I will discuss these collective behaviour research issues, including results and prospects, which are accruing in importance for the modelling of minds with machines and the engineering of prosocial behaviours in both real-world and artificial life systems.”
Short Bio: Anh Han is Professor of Computer Science and Director of the Center for Digital Innovation at School of Computing, Engineering and Digital Technologies, Teesside University. He received a PhD in AI from UNL Lisbon (2010-2012) and was a FWO Postdoc fellow from VUB Brussels (2012-1014) His current research spreads several topics in AI and interdisciplinary research, including evolutionary game theory, incentive and behavioral modelling, agent-based simulations, and AI development/safety behaviour modelling. He has published over 120 peer-reviewed articles in top-tier Computer Science conferences and high-ranking scientific journals. He regularly serves in the programme committees of most of top-tier AI conferences (e.g., IJCAI, AAAI, AAMAS) and is on the Editorial Boards of several international journals (e.g., Plos One, Humanities and Social Sciences Communication, Adaptive Behavior). He was awarded prestigious research fellowships and grants as Principal Investigator from the Future of Life Institute, EPSRC, Leverhulme Trust Foundation, and FWO Belgium.