Registration open! relAI Symposium 2025 on Generative AI

event

We are excited to announce the upcoming relAI symposium, “Shaping Science, Industry, and Society: Responsible Transformation through Generative AI,” dedicated to the latest developments and future prospects in the field of reliable artificial intelligence. The event aims to promote exchange between science, politics, and industry.

📅 Date and Time: 24 November, 09:00 - 13:00 pm

📍 Location: Haus der Bayerischen Wirtschaft

Program highlights:

  • Welcoming remarks from high-ranking representatives from politics and science, including State Secretary Dr. Rolf-Dieter Jungk (BMFTR, virtual) and the presidents of our two universities, Prof. Thomas Hofmann (TUM) and Prof. Matthias Tschöp (LMU).
  • High-caliber panel discussion with:  Dr. Philipp Baaske (LMU, VP Entrepreneurship), Prof. Claudia Eckert (acatech, President), Anna Kopp (Microsoft Digital Germany, CIO/CDO), and Maria Sievert (inveox, Founder).

Agenda and Registration

The complete agenda and the link to register can be found at the event URL.

❗Tickets are available free of charge, but subject to availability. You will receive a confirmation if your registration was successful.

On Tuesday, October 21, 2025, the Women in Data Science (WiDS) Munich Conference gathered a vibrant community of researchers, professionals, and students for a day filled with engaging talks, insightful panels, and meaningful networking opportunities. Hosted by Bayerischer Rundfunk (BR), the event celebrated the power of data science to drive social change and empower women in technology.

In line with relAI's commitment to promoting gender equality and diversity, its members supported the event in various ways. The conference was moderated by relAI PhD student Lisa Schmierer, and the keynote address was delivered by relAI Fellow Enkelejda Kasneci, who spoke about using AI to support socially disadvantaged children. Additionally, relAI PhD student Lisa Wimmer presented a talk on "The Need for Uncertainty in Machine Learning." Frauke Kreuter,  relAI Fellow and Ombudsperson as well as member of the Steering Committee, participated as a panelist in the discussion titled “When Evidence Meets Opposition: Navigating the New Normal.” Finally, relAI Coordinator Andrea Schafferhans shared insights on how to earn a PhD in an academic environment during the networking session.

👉 Visit these links for more information on the event, including the agenda and photos.

MDSI news

Women in Data Science I Munic

On October 23, 2025, relAI, the Munich Data Science Institute (MDSI), the Munich Center for Machine Learning (MCML), and the AI Hub@LMU organized the Munich Career Fair AI & Data Science 2025 at TranslaTUM.

The event brought together eleven industry partners and over 150 students across various educational stages, from bachelor’s to doctoral levels. Each partner presented an overview about their activities in AI and data science, highlighting associated career opportunities. Additionally, students had ample time and space for networking and personal interactions at the industry stands in the foyer of TranslaTUM.

We extend our heartfelt thanks to all participants, especially the industry partners, for showcasing potential career paths in AI and Data Science and contributing to the success of the fair. We look forward to seeing all of you at the next edition.

We are pleased to extend a warm welcome to our new relAI members!

relAI welcomed its fourth cohort of PhD and MSc students on October 8, 2025. In the morning, the new cohort was greeted by the relAI Directors and the Management Team at the Munich Data Science Institute (MDSI), who introduced them to the school through informative presentations.

After a joint lunch, the program continued with a networking session moderated by relAI student representatives Nil Ayday and  Marius Müller, aimed at fostering connections among the students.

The day culminated in a delightful dinner, set in a charming atmosphere, where numerous relAI fellows had the opportunity to engage with the students. This gathering offered invaluable chances to establish mentoring relationships that will support the students throughout their journey with relAI.

From July 29 to August 1, 2025, relAI was delighted to welcome a group of Chinese students for the first relAI International Summer School, which took place at TUM and LMU.

Throughout the four days, various relAI Fellows and PhD students provided comprehensive insights into the four relAI research areas: mathematical and algorithmic foundations, medicine & healthcare, robotics & interacting systems, and algorithmic decision-making. The school promoted an educational exchange focused on the development of reliable AI, with the goal of exploring current trends in AI development

 

This year, the relAI Retreat took place in Bad Kohlgrub from June 4th to 6th, bringing together over 80 members of the relAI family. It was a fantastic opportunity to reflect on our work in reliable AI and on the activities of our community to drive this field forward.

Keynote presentations by relAI Fellows showcased the impressive breadth of work across our four research areas:

Keynote by Vincent Fortuin
Keynote by Christian Wachinger
Keynote by Hinrich Schütze
Keynote by Göran Kauermann

Our relAI students presented their research topics during concise one-minute Lightning Talks, showing the diversity of work within the community. Additionally, we had exciting and inspirational Group Discussions on topics such as uncertainty in causal machine learning, counterexamples in machine learning, and explainable AI.

A significant outcome of the retreat was the strengthening of community ties, particularly among students. A speedgeeking session on the first day effectively broke the ice, fostering informal connections. Group discussions on organizational topics generated ideas for shaping the relAI program. This year, students proposed innovative ideas to enhance community spirit, engage with industry and alumni, contribute to the relAI blog, and expand the relAI wiki. We also allocated time for social activities, which facilitated further discussions on research collaborations and joint initiatives.

Speedgeeking session
Lightning Talks
Group discussions
Group discussions

Other notable events at the retreat included the annual assembly of relAI Fellows, one-to-one discussions between relAI students and Fellows on the students’ individual development plans (IDP), and the presentation of relAI certificates to MSc students who successfully completed the relAI MSc program.

IDP Discussions
Award of relAI Certificates

A big thank you to everyone who participated and contributed to making this event a success!

relAI is proud to support the opening ceremony of the project “Next Generation AI Computing (gAIn)"! This collaboration between LMU and TUM in Bavaria and TU Dresden in Saxony is financially supported by the Bavarian State Ministry of Science and the Arts, as well as the Saxon State Ministry for Science, Culture, and Tourism. The goal of the project is to develop a comprehensive, mathematics-based concept for the next generation of "Green AI" systems. The focus will be on application-based AI hardware-software combinations aimed at maximizing energy efficiency, trustworthiness, and legal compliance.

The event will feature keynotes from Minister Blume (Bavaria) and Minister Gemkow (Saxony), and a scientific lecture by Prof. Dr. Wolfram Burgard (UTN), as well as general information about the project.

For the Konrad Zuse Schools of Excellence in Artificial Intelligence, the project presents a significant opportunity to collaborate, as relAI Director Gitta Kutyniok and Stefanie Speidel, deputy director of the Zuse School SECAI, are both Principal Investigators on the project.

 

🎉The 8th edition of DataFest Germany will be held at Ludwig-Maximilians-Universität in Munich from 28 March to 30 March 2025. relAI is proud to support the event organization again this year. Additionally, a team of relAI students will participate in this exciting competition and networking opportunity.

The event is an annual data-driven competition, commonly referred to as a “hackathon,” that alternates between Mannheim and Munich. It is organized in collaboration with partners from industry and research institutions.

Datafest Germany is a celebration that follows upon the model DataFest™, organized by the American Statistical Association. The world's first DataFest took place at the University of California in 2011. Since then, many universities took up the DataFest format.

Learn more about DataFest Germany in this link.

We are pleased to share that on January 29, 2025, relAI will join the opening ceremony of our partner AI-HUB@LMU  to celebrate its founding. AI-HUB@LMU is a platform that, for the first time, unites all 18 faculties of Ludwig-Maximilians-Universität München as a joint scientific community and aims to advance research, teaching, and transfer in artificial intelligence and data science at LMU.  

As part of our commitment to fostering collaboration and innovation, relAI supports the organization of this significant event. The event will be honoured by inaugural remarks from representatives of the university and government. All 18 faculties will then present their highlights in AI and data science in keynote talks, panel discussions, pitch talks, and presentations. Check this link for the full program: https://www.ai-news.lmu.de/grand-opening-ai-hub.  

The recent relAI Collab Accelerator Workshop brought together researchers to share their work, explore new ideas, and identify potential collaborations. Here's a brief overview of the event:

The day began with the participants pitching their research topic from 9:00 to 11:00, followed by a coffee break until 11:15. After the break, participants engaged in one-to-one sessions until 14:00, followed by lunch, discussion, and feedback.

Participants contributed diverse topics in the field of Machine Learning and Artificial Intelligence. Mohamed Amine Ketata discussed Generative AI for Graphs, Max Beier presented on Learning Operator of Dynamical Systems, Richard Schwank explored Robust Aggregation through the Geometric Median, and Yurou Liang delved into Differentiable Learning for Causal Discovery.

The workshop was fertile ground for generating new research ideas and possible collaborations. During the one-to-one discussions, participants identified several projects for cooperation, such as principled modifications of loss functions to enhance robustness against outlier data rows.

Participants gained new insights into their research during the event. For example, one participant discovered a probabilistic approach to their forecasting issue without relying on a model. Another learned about structure learning as it applies to tabular data, which provided a temporal interpretation of the data. One researcher was challenged about the convexity of their problem. Discussions highlighted intriguing applications of median aggregation techniques to abstract spaces, connecting concentration inequalities with uncertainty quantification.

The relAI Collab Accelerator Workshop was an enriching experience, offering a platform for researchers to connect, share insights, and pave the way for future collaborations. The feedback during this first iteration will help refine the format and make it even more engaging. We are looking forward to the next iteration!

relAI thanks Max Beier and Richard Schwank for their initiative and the organization of the event.