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Jakob Stolberg-Larsen

Jakob is a part of the Public Interest AI research group at Alexander von Humboldt Institute for Internet and Society (HIIG), which he joined in February 2021. His research is primarily focused on machine learning and artificial neural networks, particularly for computer vision.

Jakob graduated from the University of Copenhagen (UCPH) in 2020. He did both his bachelor and master in mathematics. The bachelor was primarily focused on theoretical mathematics, and he did his thesis on applications of groupoid theory in algebraic topology. During his Master’s, the focus pivoted to more applied mathematics in combination with a number of computer science courses, primarily in the areas of cryptography and machine learning. His thesis was on the latent space geometry of deep generative neural networks, investigating a manifold atlas interpretation of hybrid discrete-continuous latent spaces.

Prior to starting at HIIG, Jakob worked as a research assistant at UCPH, continuing the research of his Master thesis.

In his dissertation at HIIG, Jakob investigates the possibility of using machine learning and computer vision tools to map barrier-free accessibility of public spaces.

Journal articles and conference proceedings

Asghari, H., Stolberg-Larsen, J., & Züger, T. (2022). Approximating Accessibility of Regions from Incomplete Volunteered Data. CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, 1-6. DOI: 10.1145/3491101.3519706 Publication details

Other publications

Asghari, H., Birner, N., Burchardt, A., Dicks, D., Fassbender, J., Feldhus, N., Hewett, F., Hofmann, V., Kettemann, M. C., Schulz, W., Simon, J., Stolberg-Larsen, J., & Züger, T. (2022). What to explain when explaining is difficult. An interdisciplinary primer on XAI and meaningful information in automated decision-making. HIIG Impact Publication Series. Publication details

Lectures and presentations

AI with Volunteering Communities
The 3rd Workshop on Artificial Intelligence for Social Good (Session: AI with Volunteering Communities). International Joint Conferences on Artificial Intelligence, Montreal, Canada: 21.08.2021 Further information

Stolberg-Larsen, J.

AI in the public interest: What does this mean and how can be build it?
Gesellschaft für Informatik: #KICamp21. Gesellschaft für Informatik e.V.. Online, Berlin, Germany: 24.02.2021 Further information

Theresa Züger, Hadi Asghari, Freya Hewett, Judith Fassbender, Jakob Stolberg-Larsen

Participation as expert

Explainable AI
Explainable AI Research Clinic – Explainable AI Humboldt Institute for Internet and Society. Coconat Gutshof, Bad Belzig, Germany: 08.09.2021 Further information

Vincent Hofmann, Jakob Stolberg-Larsen, Freya Hewett, Matthias C. Kettemann, Wolfgang Schulz, Theresa Züger

staff dummy


Former Researcher: AI & Society Lab

Current HIIG research activities

Research issues in focus

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