activity
20192026
most citedSocial Diversity Reduces the Complexity and Cost of Fostering Fairness

35 citations · 60 across the 27 of their papers we have counts for

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8 papers · 1 filter

cs.AI2025

KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning

Stephen Richard Varey, Alessandro Di Stefano, The Anh Han

In this paper, we introduce KERAIA, a novel framework and software platform for symbolic knowledge engineering designed to address the persistent challenges of representing, reason…

cs.AI2025

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

Alessio Buscemi, Daniele Proverbio, Paolo Bova +15

There is general agreement that fostering trust and cooperation within the AI development ecosystem is essential to promote the adoption of trustworthy AI systems. By embedding Lar…

cs.AI2025

FAIRGAME: a Framework for AI Agents Bias Recognition using Game Theory

Alessio Buscemi, Daniele Proverbio, Alessandro Di Stefano +3

Letting AI agents interact in multi-agent applications adds a layer of complexity to the interpretability and prediction of AI outcomes, with profound implications for their trustw…

cs.AI2025

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

Nataliya Balabanova, Adeela Bashir, Paolo Bova +15

This paper investigates the complex interplay between AI developers, regulators, users, and the media in fostering trustworthy AI systems. Using evolutionary game theory and large…

cs.AI2024

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

Paolo Bova, Alessandro Di Stefano, The Anh Han

We present a quantitative model for tracking dangerous AI capabilities over time. Our goal is to help the policy and research community visualise how dangerous capability testing c…

cs.AI2024★ 7 cited

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

Zainab Alalawi, Paolo Bova, Theodor Cimpeanu +8

There is general agreement that some form of regulation is necessary both for AI creators to be incentivised to develop trustworthy systems, and for users to actually trust those s…

cs.AI2022★ 2 cited

Understanding Emergent Behaviours in Multi-Agent Systems with Evolutionary Game Theory

The Anh Han

The mechanisms of emergence and evolution of collective behaviours in dynamical Multi-Agent Systems (MAS) of multiple interacting agents, with diverse behavioral strategies in co-p…

cs.AI2021

Voluntary safety commitments provide an escape from over-regulation in AI development

The Anh Han, Tom Lenaerts, Francisco C. Santos +1

With the introduction of Artificial Intelligence (AI) and related technologies in our daily lives, fear and anxiety about their misuse as well as the hidden biases in their creatio…