Founded in 1868, the Technical University of Munich is a German University of Excellence with over 50,000 students and roughly 12,000 staff across campuses in Munich, Garching, and beyond. TUM conducts substantial AI safety-relevant research through the Konrad Zuse School of Excellence in Reliable AI (relAI, jointly with LMU Munich), the Munich Center for Machine Learning (MCML), and the Munich Data Science Institute (MDSI). These programs focus on making AI systems safer, more secure, and trustworthy, with work spanning adversarial robustness, formal verification, privacy-preserving AI, and responsible AI governance.
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Theory of Change
TUM pursues AI safety through a combination of foundational research and applied work aimed at producing AI systems with provable safety and reliability properties. The relAI school's theory of change centers on the idea that only formal, mathematically rigorous guarantees of AI behavior will generate the trust necessary for safe adoption in high-stakes domains. By training a new generation of AI researchers with deep technical grounding in safety, security, privacy, and responsibility, and by partnering with industry and policy institutions, TUM aims to ensure that AI technologies deployed in society meet rigorous reliability standards and that the broader research community has the tools and knowledge needed to build trustworthy AI.
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- Last Updated
- Apr 2, 2026, 9:53 PM UTC
- Created
- Mar 20, 2026, 2:34 AM UTC