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
Annual Zuse Schools Meeting in Darmstadt
The annual meeting of the three German Zuse Schools – ELIZA, SECAI, and relAI – funded by DAAD in 2022, was hosted by ELIZA this October in the beautiful halls of Technische Universität Darmstadt. The meeting highlighted the Zuse School initiative´s success in attracting international AI talent and providing an exceptional, innovative education closely connected to the … Read more
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relAI at LMU KI-Symposium 2025
relAI is proud to have supported the KI-Symposium 2025, which took place yesterday at the historic Große Aula of Ludwig-Maximilians-Universität München. The event brought together researchers, students, and guests from academia, industry, and the public to celebrate the vibrant and diverse AI landscape at LMU, one of the two universities affiliated with relAI. Throughout the evening the … Read more
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relAI PhD Student Unai Fischer Abaigar talks about his research…
When we try to help the most vulnerable, and we have limited resources to deploy, should we invest them in building better prediction models, or is it sometimes more effective to simply expand access and help more people, even if the targeting isn´t absolutely perfect? If you’d like to learn more about it, check out the 👉 … Read more
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