relAI is happy to welcome five new relAI fellows from TUM, LMU and the research center Helmholtz AI.
The expertise of the new fellows on reliability AI will strengthen the relAI research and education, particularly on the Mathematical and Algorithmic Foundations relAI Focus area. New fellow Prof. Dr. Daniel Cremers (TUM) is specialised in computer vision and has worked in the AI field for many years, covering aspects of reliable AI. Prof. Dr. Reinhard Heckel (TUM) is interested in developing methods that are robust to worst case perturbation and most importantly to distribution shifts, an integral aspect of reliable AI. Prof. Dr. Johannes Maly (LMU) ´s research is naturally aligned with the goals of relAI. It focuses on understanding how to leverage intrinsic model or data structure and how the loss of information caused by digital processing (quantization) affects theoretical results. LMU fellow Prof. Christoph Kern works at the intersection of statistics, (computational) social science, and data science. His research goals overlap considerably with the research areas and themes of relAI. The research of Dr. Vincent Fortuin (Helmholtz AI) on uncertainty quantification with Bayesian methods also fits perfectly within relAI, especially with the central theme of safety. The contribution of the new relAI fellows to research support, seminars, and lectures will enrich the relAI curriculum and advance the theoretical research of the relAI field.