Jakob Stolberg-Larsen
Jakob Stolberg-Larsen war wissenschaftlicher Mitarbeiter am Alexander von Humboldt Institut für Internet und Gesellschaft im AI & Society Lab.
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 Weitere Informationen
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. Weitere Informationen
Lectures and presentations (2)
AI with Volunteering Communities
KICamp21 Webinar: AI in the public interest: What does this mean and how can we build it?
Participation as expert (1)
Research Clinic – Explainable AI

Position
Ehem. Wissenschaftlicher Mitarbeiter: AI & Society Lab
