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lecture hall with a lot of students © Jürgen Huhn​/​TU Dortmund
All Hands Meeting

Meeting of the German AI Competence Centers in Berlin

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A man with glasses and a suit sits in a white armchair and speaks into a portable microphone. In the background, a woman is also sitting in a white armchair. © Michael Setzpfandt
As part of a panel, Prof. Emmanuel Müller discussed the contribution of German basic research to trustworthy AI.
In early October, the Berlin AI Competence Center BIFOLD at TU Berlin invited scientists from all university-based AI competence centers in Germany and the German Research Center for Artificial Intelligence (DFKI) to Berlin, where they presented the latest results of their research. At the conference, Prof. Emmanuel Müller represented both TU Dortmund University and the Lamarr Institute for Machine Learning and Artificial Intelligence as well as the Research Center Trustworthy Data Science and Security of the University Alliance Ruhr (UA Ruhr) – and spoke about basic research for trustworthy artificial intelligence (AI).

As part of the federal government’s AI strategy, the five university AI competence centers have been permanently funded by the federal government and their respective federal states since 2022. The Lamarr Institute for Machine Learning and Artificial Intelligence is one of the five competence centers and is a collaborative institute by TU Dortmund University, the University of Bonn and the Fraunhofer Institutes for Intelligent Analysis and Information Systems IAIS in Sankt Augustin and for Material Flow and Logistics IML in Dortmund.

The “All Hands Meeting” of the five centers and the DFKI on the first day, 9 October, was an opportunity for scientific exchange and networking. In addition to presentations from the centers, the researchers came together in networking sessions and spoke on current topics in AI research – for example, trustworthy artificial intelligence, machine learning methods that protect the privacy of users and generative AI models. On the second day, an AI symposium was aimed at an engaged public and brought together computer scientists, ethicists and politicians with representatives from the worlds of business and society as well as over 200 guests.

A group of people pose together in front of a canvas stand-up for a photo. On the stand-up is written "BIFOLD".
Directors of the AI centers with BMBF (Federal Ministry of Education and Research) State Secretary Mario Brandenburg (third from left), Berlin State Secretary Dr. Henry Marx (fifth from left), TU Berlin President Prof. Geraldine Rauch (sixth from left) and MKW (Ministry for Culture and Science) State Secretary Gonca Türkeli-Dehnert (sixth from right). Prof. Stefan Wrobel (fifth from right) and Prof. Christian Bauckhage (third from right) represented the board of directors of the Lamarr Institute.

“Exploring trustworthy AI for the benefit of humanity”

NRW State Secretary Gonca Türkeli-Dehnert, who gave a welcome address on behalf of the funding agencies, said: “With the AI competence centers, Germany is ideally positioned to continue researching trustworthy AI for the benefit of humanity – and at a top international level, no less. With the joint, long-term funding of the centers, the federal and state governments are strengthening the link between research, teaching and transfer in the fields of artificial intelligence and machine learning. This year's AI symposium in Berlin was an impressive demonstration that these agile and innovative collaborations are having an impact on society. ‘AI research made in Germany’ is a seal of quality for technology development worldwide.”

What technical requirements does AI have to meet to be trustworthy? How can AI research be successfully applied to business? Principal investigators from the Lamarr Institute addressed and discussed these and other questions across various panels. Prof. Emmanuel Müller, who is a Professor of Data Science and Data Engineering at the Department of Computer Science at TU Dortmund University, emphasized the need for basic research on “calibrated trust”, in which machine learning is perceived as trustworthy by humans, while the necessary technical reliability is also guaranteed.

Research focus artificial intelligence

Video series on trust in AI

 

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