The EPFL 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.
8:30 – 9:30 – Coffe and 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. Stefan Bauer (Technical University of Munich)
15:30 – 16:15 – Prof. Martin Schrimpf (EPFL)
16:15 – 16:30 – Break
16:30 – 17:15 – Panel discussion moderated by Prof. Mary-Anne Hartley (EPFL & Harvard Chan)
We are honored to host a distinguished lineup of speakers:
This workshop offers a unique opportunity for AI researchers and students to explore trustworthy data science and AI alongside leading experts.
Note that due to limited space, registration is free but mandatory.
This workshop is hosted by the EPFL AI Center.
EPFL Campus, room BM 5202
Lausanne, Switzerland.
For enquiries, please contact: epflai@epfl.ch.
