Tor Rolfsen Grønsund
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.
- ITLED4290 - Technology and innovation management (S15-)
Grønsund, T., & Aanestad, M. (2020). Augmenting the algorithm: Emerging human-in-the-loop work configurations. The Journal of Strategic Information Systems, 29(2), 101614.