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
DGOF Best Paper Award Winner 2026 for relAI paper
👏 Congratulations to relAI PhD Student Jan Simson and relAI Fellow Prof. Christoph Kern! We are excited to announce that their article Preventing Harmful Data Practices by using Participatory Input to Navigate the Machine Learning Multiverse has been awarded the DGOF Best Paper Award 2026! This honour, which includes a prize of 500 euros, was presented at … Read more
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relAI welcomes new Fellow Hussam Amrouch
📢 We are excited to announce that Hussam Amrouch has joined relAI as a Fellow!. About Professor Hussam Amrouch Hussam Amrouch holds several positions at TUM, including Chair of AI Processor Design at CIT, and Head of research on Brain-inspired Computing at MIRMI. He is also the Head of the Semiconductor Test and Reliability research group at … Read more
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relAI welcomes new Fellow Zeynep Akata
🔊 Zeynep Akata has joined relAI as a Fellow!. About Professor Zeynep Akata Zeynep Akata is a Liesel Beckmann Distinguished Professor of Computer Science at TUM and the Director of the Institute for Explainable Machine Learning at Helmholtz Munich. Her research focuses on explainability-guided model adaptation, bias detection and mitigation, mechanistic interpretability, and continual learning—all of which … Read more
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