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12-14 March 2024 at Teesside University, UK
The tension in the competition towards powerful Artificial Intelligence (AI) systems between different development teams (e.g., companies, nations), could lead to serious negative consequences, especially when ethical and safety procedures are underestimated or even ignored. An important approach towards understanding regulation and governance of AI safety development and associated risks is based on computational behavioural modelling (especially given the lack of data on AI policies effectiveness in general).
The 2024 AI Governance Modelling workshop at Teesside University gathers researchers in this area to both design and analyse novel models of AI governance and discuss research directions to advance this important direction. The workshop aims to create a stimulating environment for interchanging ideas and promote mutual collaborations between participants.
Participants:
Elias Fernández Domingos - VUB Brussels
Filippo Zimmaro - University of Bologna
Simon Powers - Edinburgh Napier University
Hong Duong - University of Birmingham
Markus Krellner -- University of St Andrews
Theodor Cimpeanu -- University of St Andrews
Paolo Bova -- Teesside University
Alessandro Di Stefano -- Teesside University
Bianca Ogbo -- Teesside University
Zainab Alalawi -- Teesside University
The Anh Han -- Teesside University (workshop organiser)
Workshop outcome:
Zainab Alalawi, Paolo Bova, Theodor Cimpeanu, Alessandro Di Stefano, Manh Hong Duong, Elias Fernandez Domingos, The Anh Han, Marcus Krellner, Bianca Ogbo, Simon T. Powers, Filippo Zimmaro. Trust AI Regulation? Discerning users are vital to build trust and effective AI regulation. (Arxiv)
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