Live Q&A on AI safety

Are you interested in frontier AI systems, their astonishing capabilities and risks for humanity? Then join us for a thought-provoking deep dive and exclusive OpenAI Live Q&A on AI safety. 

  • Date: Wednesday, May 8th, 2024 | 19:00 – 20:30 
  • Location: Room B006, Department of Mathematics (Theresienstr. 39) or online 
  • Language: English 

Agenda: 

  • 19:00 – 19:05: Doors open 
  • 19:05 – 19:30: Introduction to AI Safety 
  • 19:30 – 20:15: Presentation & Live Q&A with OpenAI researcher Jan H. Kirchner, co-author of weak-to-strong generalization paper 
  • 20:15 – 20:30: Closing talk – What can we do? 
  • 20:30 – onward: Optional socializing and small group discussions with free drinks and snacks. 

Please register on the following webpage and prepare your questions! 

Last week, our relAI students presented their research to the relAI industry partners in a series of industry workshops. Four events took place, each centered around one of  the four relAI’s research areas: Mathematical & Algorithmic foundations, Algorithmic Decision-Making, Medicine & Healthcare and Robotics & Interacting Systems. 

We are thrilled that this event was so well received both by the students and the industry partners! Following short lightning talks, intriguing discussions around reliability of AI took place in smaller breakout groups.  

The industry workshops are part of relAI´s cross-sectional training and aim to facilitate the exchange of insights and expertise between academia and industry. The engagement from both our students and industry fellows emphasized the significance of bridging academic excellence with real-world applications, particularly when addressing the evolving challenges in AI reliability. 

We are excited to announce that our call for applications to the relAI MSc program is now open! 

The novel, innovative relAI MSc program is an addition to a regular MSc program at Technical University of Munich (TUM) or Ludwig Maximilians University (LMU), offering comprehensive cross-sectional training in reliable AI, including scientific knowledge, professional development courses, and industrial exposure. Funded applicants receive a scholarship of up to 934€ and additional support such as travel grants for home travel.   

relAI, funded by the German Academic Exchange Service (DAAD), is embedded in the unique transdisciplinary Munich AI ecosystem, combining the expertise of the two Universities of Excellence TUM and LMU of Munich.  

We highly encourage you to apply if you:   

  • hold an excellent Bachelor’s degree in computer science, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines,  
  • are accepted to a MSc program in said disciplines at either TUM or LMU starting in spring or fall 2024, or have applied there (Acceptance necessary before joining relAI) 
  • have a genuine interest to study reliable AI covering aspects such as safety, security, privacy and responsibility in one relAI’s research areas Mathematical & Algorithmic foundations, Algorithmic Decision-Making, Medicine & Healthcare or Robotics & Interacting Systems, and
  • can certify proficiency in English on C1 or higher level.  

📆 Application Deadline: June 17th, 2024  

🔗 Apply now: www.zuseschoolrelai.de/application 

We are thrilled to announce our new industry partnership with SAP!

The new collaboration will strengthen the school's expertise in Business AI, and will contribute to translate our AI research into the development of reliable AI systems. You can read below the views of SAP members on this exciting alliance between relAI and SAP.

We are thrilled to extend our collaborative efforts on research-driven product innovation with the Technical University of Munich and the Munich ecosystem through our new partnership with the Konrad-Zuse-School of Excellence in Reliable AI. This expansion not only consolidates our portfolio of AI-related applied research projects, but also fosters a more profound knowledge exchange and talent engagement on topics around the development of reliable AI systems and Business AI.

- Dr. Katharina Wollenberg and Dr. Rüdiger Eichin, Industry-University Collaboration, SAP

At SAP, we are committed to help our customers leverage AI to create tremendous business value. We specialize in Business AI: AI that is relevant since it’s embedded in enterprise business applications and processes from day one; that is reliable since we train, ground, and adapt AI on companies’ business data and context; and that is responsible by design, following SAP’s rigorous AI ethics, privacy, and security practices. We are delighted to join the Konrad Zuse School of Excellence in Reliable AI and look forward to collaborating with academica to drive the development and delivery of relevant, reliable, responsible Business AI.

- Dr. Johannes Hoffart, CTO AI, SAP

Related social media posts: X & LinkedIn

Image: SAP Labs Munich Campus at Campus Garching

We are thrilled to share the outcomes of our recent student-driven event organized by Maria Matveev and Julius Hege from the Chair of Mathematical Foundations of Artificial Intelligence (LMU): the first relAI Safety hackathon held last weekend! This dynamic gathering brought together a mix of students and professionals interested in the field of AI Safety. 

Over the course of two intense days, participants delved into practical projects aimed at addressing various aspects of AI safety. Their projects ranged from adversarial prompting on a binary question data set, measuring the robustness of the responses, to a website to compare your own emotional intelligence and bias to large language models such as Llama and ChatGPT. The latter project is publicly available, and you can try it out here: mindmatch.streamlit.app  

The atmosphere at the hackathon was inspiring, with enthusiastic participants exchanging ideas, insights and experiences on how to enhance the reliability and safety of AI. The event provided a great opportunity for attendees not to only work on innovative projects, but also to engage in thought-provoking discussions surrounding the ethical implications and potential risks associated with AI. Looking forward to more engaging events! 

Social media links of the event: X & LinkedIn

We are delighted to welcome five exceptional fellows to relAI: Alin Albu-Schäffer, Angela Schoellig, Björn W. Schuller, Christian Wachinger, and Stephan Bauer

Each of them brings their own expertise and insights that will further enrich our research agenda and scientific community. From diverse backgrounds in Medicine, Robotics and Data Science, they are dedicated to making significant contributions to the advancement of reliable AI. 

Alin Albu-Schäffer is director of the Institute of robotics and Mechatronics at the DLR – German Aerospace Center and professor at TUM. Methods of safe AI are attributed special importance in robotics, where artificial intelligence interacts with the physical world through complex machines. His research offers both interesting application fields and new questions for reliable AI. 

Angela Schoellig recently moved to Munich from Toronto upon being awarded an AI Humbold professorship, an award which aims to attract top international scientists to German universities. Further, she is a member of the board of directors at MIRMI. Her Chair of Safety, Performance and Reliability for Learning Systems at TUM perfectly aligns with the research topics of relAI.  

Björn W. Schuller, professor for health informatics at TUM and Klinikum rechts der Isar, works on responsible methods for medicine and healthcare. He has a background in speech recognition and works as the CSO of the Audio Intelligence company audEERING. 

Christian Wachinger is professor for AI in radiology at Klinikum rechts der Isar. A common motif of his research is “Bias and Fairness”, but his research also concerns causal inference and application of AI methods to medicine and healthcare. 

The final addition to relAI is Stephan Bauer, who is senior group leader at Helmholtz and associated professor for Algorithmic Machine Learning & Explainable AI at TUM. His research focuses on causality and deep learning. He also has background in robotics and healthcare as domain application areas of AI. 

Join us in welcoming these five to the relAI community! 

Please take a look at the excellent interview with the director of relA Prof. Günnemann at TUM. The interview, titled “The reliability of AI will play a decisive role in Germany”, emphasizes the transformative focus that our school's main topic plays in technology.

We are thrilled to congratulate relAI fellow Prof. Sami Haddadin for his elevation to IEEE fellow. This is the highest membership degree of IEEE, the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.  

This prestigious distinction was awarded to the director of the TUM Munich Institute of Robotics and Machine Intelligence (MIRMI) “for his contributions to robot safety, tactile robots, and interaction control”. 

Our Congratulations!