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 relAI Fellow Carsten Marr
Welcome on board 🛳️ ! relAI Fellow Carsten Marr is Professor for AI in Cell Therapy and Hematology at the Medical Faculty and Clinics of the Ludwig-Maximilians-Universität München, as well as Director of the Institute of AI for Health at Helmholtz Munich. In recent years, he has made significant contributions to AI-based hematological cytology. His focus on … Read more
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relAI Fellow Frauke Kreuter elected AAAS Fellow
🎉 Congratulations! relAI is thrilled to announce that Frauke Kreuter, relAI Fellow and member of the relAI Steering Committee, has been elected a Fellow of the American Association for the Advancement of Science (AAAS). AAAS is the world’s largest general scientific society and publisher of the journal Science. Founded in 1848, this non-profit international organization promotes scientific … Read more
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relAI Members awarded Most Cited Article in European Radiology
🎉 Congratulations to the relAI PhD student Johanna Topalis and relAI Fellow Prof. Michael Ingrisch! 🏆 The article they co-authored, “ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports”, has been awarded the Most Cited Article in European Radiology (Impact Factor 2024) by the European Society of Radiology! The work was presented at … Read more
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