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10-12 March 2025 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 2025 AI Governance Modelling workshop at Teesside University gathers researchers in this area to both design and analyse novel models of AI governance, simulate them using various Large Language Models (LLM), 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:
Fernando P. Santos, University of Amsterdam
António Fernandes, Universidade de Lisboa
Henrique C Fonseca, Universidade de Lisboa
Alessio Buscemi, Luxembourg Institute of Science and Technology
Daniele Proverbio, University of Trento
Elias Fernández Domingos - VUB Brussels
Simon Powers - University of Stirling
Nataliya Balabanova - University of Birmingham
Hong Duong - University of Birmingham
Markus Krellner -- University of St Andrews
Theodor Cimpeanu -- University of Stirling
Paolo Bova -- Teesside University
Zhao Song -- Teesside University
Alessandro Di Stefano -- Teesside University
Bianca Ogbo -- Teesside University
Adeela Bashir -- Teesside University
Zia Ush Shamszaman -- Teesside University
The Anh Han -- Teesside University
Outputs
Nataliya Balabanova, Adeela Bashir, Paolo Bova, Alessio Buscemi, Theodor Cimpeanu, Henrique Correia da Fonseca, Alessandro Di Stefano, Manh Hong Duong, Elias Fernandez Domingos, Antonio Fernandes, The Anh Han, Marcus Krellner, Ndidi Bianca Ogbo, Simon T. Powers, Daniele Proverbio, Fernando P. Santos, Zia Ush Shamszaman, Zhao Song. Media and responsible AI governance: a game-theoretic and LLM analysis. (Arixv)
Alessio Buscemi, Daniele Proverbio, Paolo Bova, Nataliya Balabanova, Adeela Bashir, Theodor Cimpeanu, Henrique Correia da Fonseca, Manh Hong Duong, Elias Fernandez Domingos, Antonio M. Fernandes, Marcus Krellner, Ndidi Bianca Ogbo, Simon T. Powers, Fernando P. Santos, Zia Ush Shamszaman, Zhao Song, Alessandro Di Stefano, The Anh Han. Do LLMs trust AI regulation? Emerging behaviour of game-theoretic LLM agents. (Arixv)
Fonseca et al. Can Media Act as a Soft Regulator of Safe AI Development? A Game Theoretical Analysis. ALIFE 2025 (full paper) (Arxiv)
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