1 citations · 1 across the 7 of their papers we have counts for
16 papers
The relationship between professional and general ethics in generative AI
Omri Asscher, Mirco Musolesi
Recent years have seen a growing discrepancy in the field of AI alignment: research and policy recommendations on AI ethics tend to assume a general set of ethical values, yet prol…
The Role of Network Topology and Opponent Information in Shaping Cooperation in Multi-Agent Reinforcement Learning Systems
Seongho Son, Stephen Hailes, Mirco Musolesi
Several works have investigated the influence of graph topology on cooperation among artificial agents, while the majority of the literature has focused on modelling agents' adapta…
The Limits of Automatic Evaluation of Creativity in Large Language Models
Alessandro Tutone, Giorgio Franceschelli, Mirco Musolesi
Large Language Models (LLMs) are increasingly capable of generating text that challenges human performance in domains requiring creativity, yet evaluating creativity in LLM-generat…
On the Creativity of AI Agents
Giorgio Franceschelli, Mirco Musolesi
Large language models (LLMs), particularly when integrated into agentic systems, have demonstrated human- and even superhuman-level performance across multiple domains. Whether the…
MarcoPolo: A Zero-Permission Attack for Location Type Inference from the Magnetic Field using Mobile Devices
Beatrice Perez, Abhinav Mehrotra, Mirco Musolesi
Location information extracted from mobile devices has been largely exploited to reveal our routines, significant places, and interests just to name a few. Given the sensitivity of…
Opponent Shaping in LLM Agents
Marta Emili Garcia Segura, Stephen Hailes, Mirco Musolesi
Large Language Models (LLMs) are increasingly being deployed as autonomous agents in real-world environments. As these deployments scale, multi-agent interactions become inevitable…