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 with the PhilML’26 Conference
relAI is proud to support the Philosophy of Machine Learning Conference (PhilML’26), which will take place in Munich from October 6 to 9. Tom Sterkenburg, a relAI Fellow, is one of the main organizers of this event. The conference will address fundamental epistemological, ethical, and social questions related to machine learning through the lens of analytic philosophy. … Read more
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Best Paper – Honorable Mention Award at UAI 2026 for…
🎉 We are proud to congratulate relAI PhD student Nil Ayday and her supervisor, relAI Fellow Debarghya Ghoshdastidar! Their paper, “Gaussian Process Limit Reveals Structural Benefits of Graph Transformers,” received the Best Paper – Honorable Mention Award at the 42nd Conference on Uncertainty in Artificial Intelligence (UAI 2026)! In this work, the authors derive the neural network … Read more
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Interview with relAI Fellow Valentin Hoffman
🎤 relAI fellow Valentin Hofmann was recently interviewed by the San Francisco Chronicle, the largest and most widely recognized newspaper in San Francisco and Northern California. As an expert on social biases in AI models, Valentin was asked to comment on the controversial AI chatbot of state Senator Scott Wiener, which targeted Supervisor Connie Chan, Wiener’s opponent … Read more
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