Call for Participation: Machine Learning Summer School on Reliability and Safety (MLSS^R&S 2026)

March 3rd, 2026 Daniela Lopez de Luise
We are pleased to announce the 4th edition of the Machine Learning Summer School (MLSS^R&S 2026). This year's program focuses on AI safety, reliability, and the robustness of machine learning systems.

 

Dates: June 29 – July 3, 2026

Location: Kraków, Poland

Website: https://mlss2026.mlinpl.org/

 

Key Speakers:

  • Franziska Boenisch (CISPA Helmholtz Center) – Private and trustworthy machine learning.

  • Dominik Janzing (Amazon) – Causal inference for cloud computing.

  • Wojciech Samek (TU Berlin) – Explainable AI

  • Adam Dziedzic (CISPA Helmholtz Center) – Secure and trustworthy Machine Learning

  • Randall Balestriero (Brown University / Meta AI Research) – Self-supervised learning

  • (More speakers to be announced soon)

 

Important Deadlines:

  • Early Bird Application: March 8, 2026 (AoE)

  • Regular Application: April 19, 2026 (AoE)

 

The event is organized by Jagiellonian University, the ML in PL Association, GMUM, IDEAS Research Institute, and ELLIS Unit Warsaw. It is designed for PhD students, research-oriented Master's students, and early-career researchers interested in the foundations of trustworthy AI.

As part of this announcement, we are offering a 10% discount on the registration fee for participants who use the code below. The discount applies in addition to any current rate, including the Early Bird fee.

Discount code: MLSS-RS2026-NETWORK

 

Apply here: https://mlss2026.mlinpl.org/

Contact: mlss@mlinpl.org

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