4 papers
Anthropomorphism in the age of Large Language Models: An overview of potential risks and mitigations
Ismael T. Freire, Marceau Nahon, Maud van Lier +6
Large Language Models (LLMs) and more broadly Artificial Intelligence (AI) systems are often described and understood in human-like terms, a phenomenon known as anthropomorphism. T…
Morality is Contextual: Learning Interpretable Moral Contexts from Human Data with Probabilistic Clustering and Large Language Models
Geoffroy Morlat, Marceau Nahon, Augustin Chartouny +3
A key question in current AI alignment research is how to make AI algorithms learn moral values. Because human morality is highly context-dependent, actions are judged not only by…
Semantic Deception: When Reasoning Models Can't Compute an Addition
Nathaniël de Leeuw, Marceau Nahon, Mathis Reymond +2
Large language models (LLMs) are increasingly used in situations where human values are at stake, such as decision-making tasks that involve reasoning when performed by humans. We…
Preliminaries to artificial consciousness: a multidimensional heuristic approach
K. Evers, M. Farisco, R. Chatila +6
The pursuit of artificial consciousness requires conceptual clarity to navigate its theoretical and empirical challenges. This paper introduces a composite, multilevel, and multidi…