Tor Rolfsen Grønsund
Research
My research relates to the transformative potential of digital technology, including emergent AI/ML, datafication, and surveillance phenomena. In my dissertation, I investigate how configurations of humans and algorithms evolve as firms adopt artificial intelligence (AI) capabilities. I report on new forms of collaboration and organizing between humans and AI, with directions on how organizations can leverage automation and data as a strategic asset while maintaining human-centered solutions. My research involves getting behind the scenes of the work and processes which AI spring from, and unpacking and contextualizing concepts such as human-in-the-loop, augmentation work, ground truth, and edge cases. I'm primarily trained within information systems and interpretative social research, but my work draws on fields such as human-computer interaction, systems science, organization science, and science and technology studies, as well as ethnography and critical research approaches.
Teaching
In my teaching, I believe in inspiring an entrepreneurial mindset to help bring useful solutions to real-world problems. My courses emphasize the role of uncertainty in entrepreneurship and combine design-driven, lean, and agile approaches to new product and market development, innovation, and strategizing to mitigate this uncertainty. I prefer taking a processual and practice-based approach, drawing on concepts from frameworks such as design thinking, effecutation, lean startup, business model generation, jobs-to-be-done, disruptive innovation, blue ocean strategy as well as classical strategy views.
Courses (responsible)
Courses (contributor)
- ITLED4290 - Technology and innovation management (S15-)
Awards
- Best IS Publication 2020, Association of Information Systems, 2021.
- Best Paper 2020, Journal of Strategic Information Systems, 2021.
- Shortlisted outstanding teacher in Norway, Morgenbladet 2016.
Education
- PhD candidate, Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo
- MSc, Innovation and entrepreneurship (major in informatics), Faculty of Mathematics and Natural Sciences, University of Oslo
- BA, Information Science, Faculty of Social Sciences, University of Bergen
Publications
Grønsund, T. (2021). Assembling Algorithmic Decision-Making under Uncertainty: The Case of 'Edge Cases' in an Open Data Environment. In Proceedings of the 54th Hawaii International Conference on System Sciences (p. 5657).
Grønsund, T., & Aanestad, M. (2020). Augmenting the algorithm: Emerging human-in-the-loop work configurations. The Journal of Strategic Information Systems, 29(2), 101614.