most citedInstitutional AI: A Governance Framework for Distributional AGI Safety

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.GT2026

Institutional AI: Governing LLM Collusion in Multi-Agent Cournot Markets via Public Governance Graphs

Marcantonio Bracale Syrnikov, Federico Pierucci, Marcello Galisai +6

Multi-agent LLM ensembles can converge on coordinated, socially harmful equilibria. This paper advances an experimental framework for evaluating Institutional AI, our system-level…

cs.CY20262 cited

Institutional AI: A Governance Framework for Distributional AGI Safety

Federico Pierucci, Marcello Galisai, Marcantonio Syrnikov Bracale +6

As LLM-based systems increasingly operate as agents embedded within human social and technical systems, alignment can no longer be treated as a property of an isolated model, but m…

cs.CL2026

From Adversarial Poetry to Adversarial Tales: An Interpretability Research Agenda

Piercosma Bisconti, Marcello Galisai, Matteo Prandi +6

Safety mechanisms in LLMs remain vulnerable to attacks that reframe harmful requests through culturally coded structures. We introduce Adversarial Tales, a jailbreak technique that…

cs.MA2025

Beyond Single-Agent Safety: A Taxonomy of Risks in LLM-to-LLM Interactions

Piercosma Bisconti, Marcello Galisai, Federico Pierucci +2

This paper examines why safety mechanisms designed for human-model interaction do not scale to environments where large language models (LLMs) interact with each other. Most curren…

cs.CL2025

Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models

Piercosma Bisconti, Matteo Prandi, Federico Pierucci +7

We present evidence that adversarial poetry functions as a universal single-turn jailbreak technique for Large Language Models (LLMs). Across 25 frontier proprietary and open-weigh…

cs.AI2025

Bench-2-CoP: Can We Trust Benchmarking for EU AI Compliance?

Matteo Prandi, Vincenzo Suriani, Federico Pierucci +3

The rapid advancement of General Purpose AI (GPAI) models necessitates robust evaluation frameworks, especially with emerging regulations like the EU AI Act and its associated Code…