Paolo Bova

According to our database, Paolo Bova authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Trust AI regulation? Discerning users are vital to build trust and effective AI regulation.

Zainab Alalawi, Paolo Bova, Theodor Cimpeanu, Alessandro Di Stefano, Manh Hong Duong, Elias Fernández Domingos, The Anh Han, Marcus Krellner, Ndidi Bianca Ogbo, Simon T. Powers, Filippo Zimmaro

Appl. Math. Comput., 2026

2025

Do LLMs trust AI regulation? Emerging behaviour of game-theoretic LLM agents.

Alessio Buscemi, Daniele Proverbio, Paolo Bova, Nataliya Balabanova, Adeela Bashir, Theodor Cimpeanu, Henrique Correia da Fonseca, Manh Hong Duong, Elias Fernández Domingos, Antonio Fernandes, Marcus Krellner, Ndidi Bianca Ogbo, Simon T. Powers, Fernando P. Santos, Zia Ush-Shamszaman, Zhao Song, Alessandro Di Stefano, The Anh Han

CoRR, April, 2025

Media and responsible AI governance: a game-theoretic and LLM analysis.

Nataliya Balabanova, Adeela Bashir, Paolo Bova, Alessio Buscemi, Theodor Cimpeanu, Henrique Correia da Fonseca, Alessandro Di Stefano, Manh Hong Duong, Elias Fernández Domingos, Antonio Fernandes, The Anh Han, Marcus Krellner, Ndidi Bianca Ogbo, Simon T. Powers, Daniele Proverbio, Fernando P. Santos, Zia Ush-Shamszaman, Zhao Song

CoRR, March, 2025

Multi-Agent Risks from Advanced AI.

Lewis Hammond, Alan Chan, Jesse Clifton, Jason Hoelscher-Obermaier, Akbir Khan, Euan McLean, Chandler Smith, Wolfram Barfuss, Jakob N. Foerster, Tomas Gavenciak, The Anh Han, Edward Hughes, Vojtech Kovarík, Jan Kulveit, Joel Z. Leibo, Caspar Oesterheld, Christian Schröder de Witt, Nisarg Shah, Michael P. Wellman, Paolo Bova, Theodor Cimpeanu, Carson Ezell, Quentin Feuillade-Montixi, Matija Franklin, Esben Kran, Igor Krawczuk, Max Lamparth, Niklas Lauffer, Alexander Meinke, Sumeet Motwani, Anka Reuel, Vincent Conitzer, Michael Dennis, Iason Gabriel, Adam Gleave, Gillian K. Hadfield, Nika Haghtalab, Atoosa Kasirzadeh, Sébastien Krier, Kate Larson, Joel Lehman, David C. Parkes, Georgios Piliouras, Iyad Rahwan

CoRR, February, 2025

2024

Quantifying detection rates for dangerous capabilities: a theoretical model of dangerous capability evaluations.

Paolo Bova, Alessandro Di Stefano, The Anh Han

CoRR, 2024

2023

Both eyes open: Vigilant Incentives help Regulatory Markets improve AI Safety.

Paolo Bova, Alessandro Di Stefano, The Anh Han

CoRR, 2023

2021

Safe Transformative AI via a Windfall Clause.

Paolo Bova, Jonas Emanuel Müller, Benjamin Harack

CoRR, 2021