XAI Summer School 2025

Dates: September 1- 5, 2025
Place: Faculty of Informatics, Masaryk University, Brno, Czech Republic


From September 1 to 5, 2025, the third edition of the XAI School will take place, building on the success of the previous two fully booked sessions. This specialized program offers participants a hands-on introduction to the latest advancements in Explainable Artificial Intelligence (XAI), focusing on practical applications and methodological innovations.

Due to high demand and intense interest, the XAI Summer School provides an excellent opportunity for researchers, practitioners, and students to deepen their understanding of trustworthy and interpretable AI.

πŸ—―οΈ Registration information

Registration takes place via the form.
You can register until 22nd August. After that time, registration will be closed. The registered participants will receive an informative email regarding the organization and other details of the school by 26th August 2025 at the latest.

πŸ—―οΈ Fees

Participation is free of charge.
Participants are expected to cover their travel and accommodation expenses.

The event is supported by the CERIT-SC infrastructure.

Read more about the previous editions of the school here:

XAI Winter School 2025

XAI Summer School 2024

Programme

Monday

  • 09:00–10:00– Registration
  • 10:00–10:10– Opening (Petr Holub)
  • 10:10–10:30– Metacentrum registration (VΓ­t Musil)
  • 10:30–12:00– Introduction to pathology (Rudolf Nenutil)
  • 12:00–13:00– Lunch break
  • 13:00–15:30– Hands-on
  • 15:30–16:00– Coffee break
  • 16:00–18:00– State of the art in (X)AI in digital pathology (David Steiner)

Tuesday

  • 09:00–10:00– Handling sensitive data (Petr Holub)
  • 10:00–10:15– Coffee break
  • 10:15–11:50– Hands-on
  • 12:00–13:00– Lunch break
  • 13:00–14:00– Quality control (Karel Ε tΔ›pka)
  • 14:00–15:00– Hands-on
  • 15:00–15:15– Coffee break
  • 15:15–17:00– Hands-on

Wednesday

  • 09:00–10:00– Implementation of digital pathology (Markus Plass)
  • 10:00–10:15– Coffee break
  • 10:15–11:50– Hands-on
  • 12:00–13:00– Lunch break
  • 13:00–14:00– Mining clinical data (AleΕ‘ HorΓ‘k)
  • 14:00–15:00– Hands-on
  • 15:00–15:15– Coffee break
  • 15:15–17:00– Hands-on

Thursday

  • 09:00–10:00– Explainability of AI in digital pathology (Aray Karjauv)
  • 10:00–10:15– Coffee break
  • 10:15–12:00– Hands-on
  • 12:00–13:00– Lunch break
  • 13:00–14:00– Digital pathology at FI MUNI (TomΓ‘Ε‘ BrΓ‘zdil)
  • 14:00–15:00– Hands-on
  • 15:00–15:15– Coffee break
  • 15:15–17:00– Hands-on

Friday

  • 09:00–10:30– Hands-on
  • 10:30–10:45– Coffee break
  • 10:45–12:00– (to be confirmed)
  • 12:00–13:00– Lunch break
  • 13:00–15:00– Data in digital pathology & Clinical AI applications (Norman Zerbe)
  • 15:00–15:15– Wrap-up of the school (Petr Holub)

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