Chair: Xavier Leroy
It is often assumed that as AI makes regular progress in solving more and more problems in various areas, it approaches, asymptotically, the ultimate goal of artificial general intelligence (AGI). If AGI is understood as human-like or human-level intelligence, that is, a system capable of substituting for a human agent in any cognitive process, I claim that this expectation is based on an illusion.
Daniel Andler is professor emeritus of philosophy at Sorbonne Université and a member of the Académie des sciences morales et politiques. He founded and directed a number of institutions, among which the Department of Cognitive Studies (DEC) at École normale supérieure, where he currently works, the Sorbonne-CNRS research team Sciences, normes, démocratie (SND), the Société de philosophie des sciences (SPS), the master’s program in cognitive science (ENS-EHESS-Univ, Paris-Descartes), and co-founded the European Society for Philosophy and Psychology (EuroSPP). He started out as a mathematical logician (with a PhD from Berkeley and a doctorat d’État from Paris 7) before moving to philosophy of science, with a focus on cognitive science and artificial intelligence. His interests range from the philosophical issue of naturalism to the impact of cognitive science on the social sciences and on societal issues such as education, collective decision making and public policy. His recent books are La Silhouette de l’humain. Quelle place pour le naturalisme dans le monde d’aujourd'hui? (2016), (as co-editor) La Cognition. Du neurone à la société (2018), and Intelligence artificielle, intelligence humaine : la double énigme (2023) (translated in Italian, Arabic and soon in Mandarin).
