Severin Engelmann

Severin Engelmann is a postdoctoral fellow at Cornell Tech (Cornell University) and a guest researcher at the Professorship of Cyber Trust (Technical University of Munich). His research focuses on the ethics of digital platforms and systems, particularly AI ethics, privacy, and classification systems like the Chinese Social Credit System. He employs multidisciplinary methodologies including conceptual analysis, policy studies, and experimental vignette research.

Education:

• Ph.D. in Digital Socio-Technical Classification Systems (2023) - Technical University of Munich

His research trends center on participatory and experimental approaches to AI ethics, examining transparency in digital reputation mechanisms, ethical governance of algorithmic systems, and value pluralism in large language models. Recent work explores how non-experts evaluate AI inference-making in computer vision scenarios.

Scientific Awards:

• Weizenbaum Student Prize 2018

He has taught seminars on Trust in Automated Decision-Making and Transparency of Algorithmic Systems and previously designed AI ethics courses at TUM. His work spans cross-cultural studies of facial analysis AI and has been featured in media outlets like TechCrunch.