The CTU team secured first place in the latest round which grants them direct advancement to the finals of this international competition focused on trusted AI. The winners will be announced at the end of July 2025.
Martin Krutský
Martin is a Ph.D. student at the Intelligent Data Analysis lab, where he studies explainable AI with emphasis on neuro-symbolic and structured geometric models. Through his interest in explainability, he started exploring the interdisciplinary field of responsible AI, spanning from AI ethics to AI safety.
Martin cooperates with members of AIC through research projects and the Responsible AI discussion group.
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Latest news
Jakub Mareček’s LION 19 keynote presents a framework for reasoning about repeated uses of AI systems and the new Interconnect toolkit for long-run properties therein.
For the second year in a row, our popular online course is open to the public. The 14-week course begins in September 2025 and is now also available to industry professionals seeking an EU microcertificate.