I have taught the following courses at the Ruhr University Bochum (RUB).
212044: AI Ethics and Society
Lecture/Exercise | Offered in WS 26/27,
WS 25/26
This is a Master’s level course that examines the ethical, social, and political implications of artificial intelligence (AI). Drawing on perspectives from the social sciences and humanities rather than purely technical approaches, students explore how AI can perpetuate discrimination, bias, and injustice, the responsibilities of various actors when AI causes harm, the politics of AI datasets, approaches for explaining AI decision-making, auditing, regulation, and more. Through critical analysis and assignments, students learn to assess AI-caused harms, evaluate mitigation strategies, and reflect on how to design and deploy AI systems more equitably and responsibly.
212037: Privacy Engineering, Usability, and Data Governance
Lecture/Exercise | Offered in
WS 23/24,
WS 24/25,
WS 25/26
This is a Master’s level course that aims to equip students with the knowledge and practical skills to design and implement privacy-preserving systems. Key topics include privacy definitions and concepts, privacy by design, privacy engineering, data governance, usable privacy and UX design, and inclusive privacy. Through lectures, readings, and a semester-long individual project, students learn to conduct privacy threat modeling, apply privacy-by-design techniques, reason about the implementation of data governance principles, and create user-friendly privacy interfaces.
For Bachelor’s and Master’s students at RUB, I offer thesis supervision on a limited basis together with postdocs and senior PhD students in my group. If you are interested in writing a thesis with us, please check out this page for more details.
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