7 papers
What is Left for Us? Second Scholarship Against the Degradation of Research by AI
Claudio Novelli, Luciano Floridi
We argue that generative AI can degrade research by eroding the very practices through which scholarly judgement is formed and academic trust is built. As constitutive conditions f…
Fake Plastic Voters: When Political Parties Can Use AI-Simulated Focus Groups
Claudio Novelli, Javier Argota Sanchez-Vaquerizo, Jennifer Cyr +4
Political parties strive to understand their electorates, and focus groups are a vital tool in these efforts. AI-enhanced simulation technologies (AESTs) enable synthetic focus gro…
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…
A Categorical Analysis of Large Language Models and Why LLMs Circumvent the Symbol Grounding Problem
Luciano Floridi, Yiyang Jia, Fernando Tohmé
This paper presents a formal, categorical framework for analysing how humans and large language models (LLMs) transform content into truth-evaluated propositions about a state spac…
A Replica for our Democracies? On Using Digital Twins to Enhance Deliberative Democracy
Claudio Novelli, Javier Argota Sánchez-Vaquerizo, Dirk Helbing +2
Deliberative democracy depends on carefully designed institutional frameworks, such as participant selection, facilitation methods, and decision-making mechanisms, that shape how d…
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…