Download poster and program (PDF): here 

Day 1

 May 27, 2026

Training morning

8:45am to 9:30am: Welcome greetings

9:30am to 12:30am (including a break): LLM & Agentic AI

Speaker: Maria Manera (Post-Doc, Torino University)

 12:30pm to 2pm: Lunch 

Afternoon of presentations

2:15pm to 3:15pm : Key-note speaker  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.

 3:15pm to 3:55pm : Presentation 1

Title 1

3:55pm to 4:10pm : Pause

4:10pm to 4:50pm : Presentation 2

Title 2

4:50pm to 5:30pm : Presentation 3

Title 3

 5:30pm to 6:10pm : Presentation 4

Title 4

Join us by videoconference for free (only on afternoon)!

7:30pm to 11pm: Gala dinner