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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

  • AI-HUB@LMU KI Symposium

    On November 9, 2026, starting at 6:15 PM, the annual LMU AI Symposium will be held in the Great Hall (Große Aula) of LMU Munich. This event is organized by AI-HUB@LMU in collaboration with relAI and will be followed by a reception in the Lichthof. We anticipate welcoming approximately 500 guests from academia, industry, politics, and society.As … Read more

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  • relAI at TUM Open Campus Day 2026

    As in the previous edition, relAI was present this year at the TUM Open Campus Day at Forschungscampus Garching on 3rd October 2026. Throughout the day, a lively mix of visitors—families, students, people of all ages—stopped by our stand, eager to discover what relAI is all about. Guests got hands-on with AI, training their own neural networks … Read more

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  • Your Cardiologist is Multimodal. Why Isn’t Your Model?

    🐘The old story of the blind men and the elephant feels surprisingly relevant to medical AI. One blind man touches the trunk and thinks the elephant is a snake. Another feels the leg and thinks it’s a tree. Each sees only part of the picture. AI models for diagnosing valvular heart disease (VHD) face a similar challenge. … Read more

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