Machine Learing Summer School on Reliability and Safety 2026

About

Machine Learning Summer School on Reliability & Safety (MLSSR&S 2026) is a five-day summer school dedicated to selected topics in machine learning, with a focus on AI safety, reliability and robustness of machine learning systems.

The school is organised as an intensive academic programme built around invited lectures delivered by a carefully selected group of researchers from academia and industry, whose work has significantly contributed to the development of the field. Speakers are actively involved in current research and are invited based on their scientific contributions and expertise.

MLSSR&S 2026 continues the Machine Learning Summer School series and follows previous editions: MLSSN 2022, MLSSS 2023 and MLSSD 2025. As in the previous years, the school will take place in Kraków, Poland.

The intended audience of MLSSR&S 2026 includes:
-PhD students working on machine learning or related fields
-research-oriented Master's students
-early-career researchers from academia and industry interested in reliability and safety of machine learning systems

Participants are expected to have prior knowledge of machine learning fundamentals, including supervised and unsupervised learning, optimisation methods and basic probability. Familiarity with mathematical tools commonly used in machine learning is recommended.

Target group

The intended audience of MLSSR&S 2026 includes:

PhD students working on machine learning or related fields
research-oriented Master's students
early-career researchers from academia and industry interested in reliability and safety of machine learning systems

Course aim

MLSS dedicated to selected topics in machine learning, with a focus on AI safety, reliability and robustness of machine learning systems.

Fee info