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Welcome to relAI! – Konrad Zuse School of
Excellence in Reliable AI

The current technological revolution is largely driven by spectacular progress in artificial intelligence (AI). Yet, although the huge potential is widely recognized, the lack of reliability of AI technology is still considered a serious issue of concern, limiting its adoption both by industry and society at large. Indeed, aspects such as safety, security, and privacy-preservation are essential prerequisites for the use of AI in domains of public interest – e.g. ensuring that robots do not endanger life or respecting confidentiality of data.

The vision of the 'Konrad Zuse School of Excellence in Reliable AI' (relAI) is to train future generations of AI experts, who for the first time combine technical brilliance with awareness of the importance of AI’s reliability. Our novel, highly innovative AI program will educate top international candidates in the end-to-end development of reliable AI systems (including scientific knowledge, business expertise, and industrial exposure), both for industry and academia, and perform cutting-edge research to make AI ready for deployment in critical application domains.

relAI trains future generations of AI experts who combine technical brilliance with an eye on AI's implications for society.

NEWS

  • relAI welcomes new Fellows

    We are delighted to welcome four exceptional fellows to relAI: Nassir Navab, Solveig Vieluf, Tobias Lasser and Jochen Kuhn.   Each of them brings their own expertise and insights that will further enrich our research agenda, educational offers, and scientific community. They are dedicated to making significant contributions to the advancement of reliable AI, particularly in Medicine & … Read more

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  • Munich AI Lecture by Ludovic Righetti

    The next Munich AI Lecture will take place on Tuesday, June 18th at 5 pm at Arcisstr. 21, Room 2750 (Karl Max von Bauernfeind auditorium) and via zoom. This edition features Ludovic Righetti (New York University), who will talk about “Learning complex robotic behaviors with optimal control”. Mark your calendars and join us there! For more information … Read more

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  • Alfred Breit Prize to Prof. Julia Schnabel

    We are proud to announce that the German Radiological Society (Deutsche Röntgengesellschaft) has awarded the Alfred Breit Prize 2024 to our relAI fellow Prof. Julia Schnabel. The prize honors outstanding work and developments in the field of radiological research that have significantly contributed to progress in cancer therapy. Julia Schnabel is Professor for Computational Imaging and AI … Read more

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