EPFL Trustworthy Data Science and AI Workshop

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Event details

Date 30.06.2025
Hour 08:0018:00
Speaker Prof. Bin Yu (University of California, Berkeley) ; Prof. Fanny Yang (ETH Zurich) ; Prof. Frauke Kreuter (LMU Munich) ; Prof. Su-In Lee (University of Washington) ; 
Location
Category Conferences - Seminars
Event Language English

The EPFL AI Center Workshop on Trustworthy Data Science and AI is a one-day intensive event bringing together world-leading experts to explore cutting-edge methods and practices for ensuring veridical (truthful), reliable, and reproducible data science and artificial intelligence.

The workshop will take place exclusively on-site at EPFL on June 30, 2025. 

Through interdisciplinary dialogue, the workshop will address the complexities involved in developing AI systems that are not only performant but also transparent, reproducible, and robust, contributing to the advancement of responsible and trustworthy data-driven research.

Designed for researchers and students aiming to strengthen their data science practices, this workshop offers a unique opportunity to engage with leading experts and deepen their understanding of trustworthy data science and AI methodologies.

More information and registration: HERE

Program

8:00 – 9:30  Coffe and Badges check-in

9:30 – 10:15 – Prof. Bin Yu (University of California, Berkeley)
10:15 – 11:00 – Prof. Frauke Kreuter (LMU Munich)
11:00 – 11:45 – Prof. Fanny Yang (ETH Zurich)
11:45 – 12:30 – Prof. Gérard Biau (Sorbonne University)

12:30 – 14:00 – Lunch Break

14:00 – 14:45 – Prof. Su-In Lee (University of Washington)
14:45 – 15:30 –  Prof. Martin Schrimpf (EPFL)
15:30 – 16:15 – Panel discussion moderated by Prof. Mary-Anne Hartley (EPFL & Harvard Chan)

16:15 – Networking session
 

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Tags

Trustworthy AI Trustworthy Data Science Responsible AI Veridical AI Reproducible AI Reliable AI Transparent AI Robust AI Systems

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