Tor Rolfsen Grønsund
Research interests
My research focuses on the transformative potential of digital technology, including data analytics, computer vision, machine learning, and artificial intelligence (AI). I'm particularly interested to develop human-centered methods for the organizational uptake of AI-based technologies. This includes studying the sociotechnical practices and processes which AI spring from, shifting configurations of human-machine co-behaviour, feedback mechanisms as a source of data-driven strategic advantage, and the social implications of categorization and classification as it is propelled by the adoption of AI. I draw on an Information Systems perspective, influenced by Computer-Supported Cooperative Work (CSCW) and Science and Technology Studies (STS).
My research interests overlap my teaching entrepreneurship, which focuses on human-centered design approaches to new product and market development under conditions of uncertainty.
Teaching (responsible)
Guest lecturing
- ITLED4290 - Technology and innovation management (S15-)
Publications
Grønsund, T., & Aanestad, M. (2020). Augmenting the algorithm: Emerging human-in-the-loop work configurations. The Journal of Strategic Information Systems, 29(2), 101614.