Benedikt Hoeltgen

Benedikt Höltgen (Ben) is a researcher with interdisciplinary training in mathematics, philosophy, and computer science, currently affiliated with the Hasso Plattner Institute's Data & AI cluster in Potsdam, Germany. He completed an MSc in Mathematical Philosophy at the Munich Center for Mathematical Philosophy (MCMP) and an MSc in Computer Science at the University of Oxford with a focus on machine learning, before starting a PhD at the University of Tübingen in 2022 under Bob Williamson as part of the ELLIS PhD program, co-supervised by Nuria Oliver at the University of Alicante. His research focuses on the mathematical assumptions and technical modeling choices underlying AI systems and their societal implications, including probability interpretation, individual-group dynamics, and algorithmic fairness. Earlier in his career, following advice from 80,000 Hours, he transitioned from philosophy to ML research and worked with the OATML group at Oxford (Yarin Gal's lab) alongside Sören Mindermann and Jan Brauner, contributing to the RHO-Loss paper on prioritized training published at ICML 2022. He received a Long-Term Future Fund grant in December 2021 to support 10 months of research on AI safety and alignment, with a focus on scaling laws and interpretability, during this Oxford period.

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