Most recent news
Interview in the Science et Vie Special Issue on AI
(20 October 2025)
I've had the privilege for some time of occasionally answering journalists' questions about the impacts of AI on society, thanks to the Trustworthy AI Chair which has increased the visibility...
AI Act Afternoon by the Trustworthy AI Chair
(06 October 2025)
October 13th: afternoon of presentation and exchanges on the AI Act! **Listen, question and understand the AI Act** - An afternoon of explanations, theoretical insights and applied experience feedback to...
Science & Vie Roundtable — Fête de la Science
(01 October 2025)
On the eve of the official launch of Fête de la Science 2025, and at the offices of the Ministry of Higher Education, I took part in a roundtable organized...
AI Training at Aérocampus
(04 July 2025)
The Aérocampus of Nouvelle Aquitaine is a training center for aeronautical technicians. It's a unique campus where industry plays a major role. Here, airplanes (including a Rafale) and helicopters of...
2025 Agrégation Jury
(23 June 2025)
Since 2022, France has finally established an external computer science agrégation. I remember my own computer science classes in middle school (on PCs with 5"1/4 floppy disks and MO5/TO7 machines)....
I am participating to the Confiance.ai days in Supelec, Paris-Saclay University. These days are a very efficient way of checking the progresses in trustworthy ai. The amount of money deployed to this topic of research is really impressive and some nice results are already there, guided by problems proposed by the industry.
Amongst the good stuff presented here, we can find a nice lexicon on what can be expected when seeking for trust. But what was even more impressive is the amount of work in order to deploy all the A.I. solutions! So many open questions!
What is interesting is how far some of the benchmarks used in the academia are miles away from real-life problems from the industry. Amongst all the presentations and posters I saw, industrials often have to revisit, by themselves, all the results obtained in well cited papers, simply because the classical measures used in academia does not apply in real life. Interesting.
(Last Modified date: 13 October 2022)