MLSS on Reliability and Safety 2026

Five-day intensive academic summer school at Jagiellonian University, Kraków, focused on AI safety, machine learning robustness and explainability. The 2026 edition brings 16 invited international researchers to deliver lectures for PhD students and early-career ML researchers.

DATES
29 June – 3 July 2026
VENUE
Jagiellonian University, Kraków
ORGANISER
ML in PL Association
FORMAT
In-person, application-based

Definition

MLSS on Reliability and Safety (Machine Learning Summer School on Reliability and Safety) is a selective annual academic event co-organised by the ML in PL Association and Jagiellonian University, with participation from GMUM, the IDEAS Research Institute, ELLIS Unit Warsaw and the Jagiellonian Center for Artificial Intelligence. The school delivers invited lectures by international researchers on AI safety, ML reliability and robustness in an intensive five-day residential format. Attendance is by application and acceptance; it is not an open-registration event.

What MLSS on Reliability and Safety covers

The programme focuses on the technical dimensions of making machine learning systems safer and more reliable: adversarial robustness, explainability and interpretability, causal inference, privacy-preserving ML, out-of-distribution generalisation, and the theoretical foundations of reliable AI. Content is research-level, building on solid prior knowledge of machine learning methods.

Who attends MLSS on Reliability and Safety

Invited speakers 2026

The 2026 school features 16 confirmed invited speakers:

Franziska Boenisch, Dominik Janzing, Wojciech Samek, Adam Dziedzic, Randall Balestriero, Fazl Barez, Alexandra Gomez-Villa, Anna Sztyber-Betley, Jan Betley, Tomasz Michalak, Wojciech Kusa, Kamil Mamak, Adel Bibi, Bartosz Zieliński, Christian Schroeder de Witt, Esmeralda S. Whitammer.

Affiliations cover institutions from Europe and North America across both academia and industry research labs (including Google-affiliated researchers).

Sponsors and partners

Gold sponsor: Google. Bronze sponsors: Aptiv, Motorola Solutions. Academic partners: Jagiellonian University, GMUM, IDEAS Research Institute, ELLIS Unit Warsaw, Jagiellonian Center for Artificial Intelligence.

Edition history

MLSS on Reliability and Safety is part of the broader MLSS (Machine Learning Summer School) series and the ML in PL Association's recurring summer school programme. The ML in PL Association has organised prior MLSS editions in Poland.

FAQ · Identity and audience

Is MLSS on Reliability and Safety part of the global MLSS series?

Yes. The Machine Learning Summer School series has a long history of intensive schools co-organised by ML groups globally. This edition is a specialised instance focused on reliability and safety, organised by the Polish ML community through ML in PL Association.

How is admission handled?

Attendance is by application. Applicants submit a research profile and are selected based on prior ML knowledge and research relevance. Registration is not open to all; acceptance notifications are sent to selected applicants. Applications for the 2026 edition have closed.

What is the ML in PL Association?

ML in PL Association is a Polish non-profit founded to develop the machine learning research community in Poland. It organises conferences (ML in PL Conference), summer schools and educational events. The association has close ties to Jagiellonian University and the broader Polish AI academic community.

Who is MLSS on Reliability and Safety NOT designed for?
  • Industry practitioners looking for applied workshops on production AI deployment
  • Developers without a research or academic ML background
  • Attendees interested in commercial AI products or vendor presentations
  • Business and non-technical roles
  • Undergraduates without substantial ML coursework and research experience

The venue: Jagiellonian University, Kraków

The school is split across two Jagiellonian University locations: the opening day at Collegium Novum (Gołębia 24, central Kraków) and the remaining four days at the Faculty of Mathematics and Computer Science (Profesora Stanisława Łojasiewicza 6, Kraków). Jagiellonian University, founded in 1364, is Poland's oldest university and a major European research institution. Kraków is served by John Paul II International Airport with direct connections to major European cities.

The organiser: ML in PL Association

ML in PL Association organises machine learning research events in Poland, including the annual ML in PL Conference and MLSS summer schools. The association operates through volunteer efforts from the Polish ML academic community and has strong ties to Jagiellonian University's GMUM group (Group of Machine Learning Research). Partner institutions include the IDEAS Research Institute, ELLIS Unit Warsaw and the Jagiellonian Center for Artificial Intelligence. Contact.

Editorial take

MLSS on Reliability and Safety positions Eastern Europe as a credible hub for serious ML safety research, offering PhD students and early-career researchers access to 16 international faculty at a competitive level for a selective European summer school.

How to register and what it costs

Attendance is by application only. Applications for the 2026 edition have closed. Monitor mlss2026.mlinpl.org and the ML in PL Association's social media channels for future editions. No ticket pricing applies; the school may offer bursaries or support for selected participants.

FAQ · Access and practicalities

How do I get to Jagiellonian University from Kraków airport?

John Paul II International Airport is approximately 15 km from the city centre. Bus route 252 and 292 connect the airport to Kraków Główny (main station) in around 40 minutes. From the city centre, both venues are reachable by tram or on foot.

Is there accommodation support?

Accommodation information for participants is typically communicated directly by the organisers. Check the official site at mlss2026.mlinpl.org or

Where can I find the ML in PL Association's other events?

The association's activities, including the ML in PL Conference, are listed at mlinpl.org and on their YouTube channel at youtube.com/@mlinpl.

Resources

Official website https://mlss2026.mlinpl.org/
ML in PL Association https://mlinpl.org/
YouTube https://www.youtube.com/@mlinpl
Contact See website