Round Table Discussion
Training the next generation of scientists in the era of Generative & Agentic AI
17th Workshop of the
France-China Particle Physics Network and Laboratory
2 July 2026, IP2I
Panelists: Julien DONINI and Fazhi QI
Animator: Eric Kajfasz and Julien Zoubian
Context
From Alexandre Boucaud's JDEV presentation
"Fully autonomous AI science produces… noise (for now)" [...]
"but with a human in the loop, the hints are already striking" [...]
"AI is changing fast — don't bet on "now"
Goal for today discussion
- Focus on education, not technology
- Share perspectives from research, supervision and students
- Leave with a few concrete actions in the framework of the FCPPN/L
How the discussion will work
- 3 discussion topics
~5 min each with the panelists
- Open discussion
Students, supervisors, researcher, engineers, everyone is welcome to contribute
- Wrap-up
Let's identify a few concrete actions for training the next generation of scientists.
The goal is not to answer every question,
but to start a conversation and leave with actionable ideas.
1. Learning to code in the age of LLMs
Should students still learn programming from scratch when LLMs can generate code?
5 minutes
2. Writing papers and theses with AI
Is it acceptable for a PhD student to use an LLM to write parts of a paper or thesis?
5 minutes
3. Agentic AI and future scientific skills
If autonomous AI agents become part of daily research, which human skills become more important?
5 minutes
Open Discussion
- Has AI already changed the way you work?
- What skills do students struggle with today?
- What training would be most useful?
- What should institutions do differently?
~10 minutes