Télécharger l'affiche et le programme (PDF) : ici 

Jour 1

le 27 Mai 2026

Matinée de formation

 8h45 à 9h30 : Accueil des participants

 9h30 à 12h30 (avec une pause) :  LLM & L'IA agéntique

Intervenant : Maria Manera (Post-Doc, l'Université de Torino))

12h30 à 14h : Déjeuner 

Après-midi de présentation de travaux

14h15 à 15h15 : Keynote invité Michael I. Jordan (Inria Paris and the University of California, Berkeley)

A Collectivist, Economic Perspective on AI

Information technology is in the midst of a revolution in which omnipresent data collection and machine learning are impacting the human world as never before.  The word "intelligence" is being used as a North Star for the development of this technology, with human cognition viewed as a baseline.  This view neglects the fact that humans are social animals, and that much of our intelligence is social and cultural in origin.  Thus, a broader framing is to consider the system level, where the agents in the system, be they computers or humans, are active, they are cooperative, and they wish to obtain value from their participation in learning-based systems.  Agents may supply data and other resources to the system only if it is in their interest to do so, and they may be honest and cooperative only if it is in their interest to do so.  Critically, intelligence inheres as much in the overall system as it does in individual agents.  This is a perspective that is familiar in economics, although without the focus on learning algorithms.  A key challenge is thus to bring (micro)economic concepts into contact with foundational issues in the computing and statistical sciences.  I'll discuss some concrete examples of problems and solutions at this tripartite interface.

 15h15 à 15h55 : Presentation 1

Titre 1

15h55 à 16h10 : Pause

16h10 à 16h50 : Presentation 2

Titre 2

16h50 à 17h30 :  Presentation 3

Titre 3

17h30 à 18h10 :  Presentation 4

Titre 4

Rejoignez-nous en visioconférence en accès libre (uniquement l'après-midi) !  

19h30 à 23h : Dîner gala