most citedA Robust Governance for the AI Act: AI Office, AI Board, Scientific Panel, and National Authorities

47 citations · 57 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

What Kind of Reasoning (if any) is an LLM actually doing? On the Stochastic Nature and Abductive Appearance of Large Language Models

Luciano Floridi, Jessica Morley, Claudio Novelli +1

This article looks at how reasoning works in current Large Language Models (LLMs) that function using the token-completion method. It examines their stochastic nature and their sim…

cs.CR2025★ 6 cited

Cyber Risks to Next-Gen Brain-Computer Interfaces: Analysis and Recommendations

Tyler Schroder, Renee Sirbu, Sohee Park +3

Brain-computer interfaces (BCIs) show enormous potential for advancing personalized medicine. However, BCIs also introduce new avenues for cyber-attacks or security compromises. In…

cs.HC2025★ 3 cited

Regulating Next-Generation Implantable Brain-Computer Interfaces: Recommendations for Ethical Development and Implementation

Renee Sirbu, Jessica Morley, Tyler Schroder +4

Brain-computer interfaces offer significant therapeutic opportunities for a variety of neurophysiological and neuropsychiatric disorders and may perhaps one day lead to augmenting…

cs.AI2025★ 1 cited

Agentic AI Optimisation (AAIO): what it is, how it works, why it matters, and how to deal with it

Luciano Floridi, Carlotta Buttaboni, Nicolas Gertler +4

The emergence of Agentic Artificial Intelligence (AAI) systems capable of independently initiating digital interactions necessitates a new optimisation paradigm designed explicitly…

cs.CY2024★ 47 cited

A Robust Governance for the AI Act: AI Office, AI Board, Scientific Panel, and National Authorities

Claudio Novelli, Philipp Hacker, Jessica Morley +2

Regulation is nothing without enforcement. This particularly holds for the dynamic field of emerging technologies. Hence, this article has two ambitions. First, it explains how the…