Norwegian version
Mari Serine Kannelønning

Mari Serine Kannelønning

About

At OsloMet, I assist researchers in exploring and assessing the opportunities and challenges of using AI tools in various parts of the research process. I do so mainly through workshops, courses and guidance. I am also the leader of an AI group that works to enhance AI literacy among students and staff.

Additionally, I work as a researcher at the Department of Informatics at the University of Oslo and the Norwegian Centre for e-Health Research, studying the introduction and use of AI in healthcare.

Artificial intelligence in healthcare (PhD)

I hold a PhD in Social Sciences and the introduction of AI in healthcare services from OsloMet. My doctoral project investigated how actors, such as health authorities, hospital managers, physicians, AI researchers, and vendors, envision and prepare for a future with AI in the present.

Key questions addressed in my thesis are how actors involved in such innovation processes see the future with emerging AI technologies, how they discuss and plan for their introduction, which decisions are made by whom, which implications such decisions may have, what happens during implementation and, finally, what are the effects of short and long term use.

My approach to these topics in my doctoral thesis was explorative and qualitative, and the theoretical framework was based on concepts and perspectives from Science and Technology Studies (STS).

Academic interests

My background is in organisational studies, technology studies and information studies, and my main interests are:

Other positions

www.linkedin.com/in/mkanneloenning

Fields of study

Subject areas

Information technology   Artificial intelligence   Digitalization   Science and Technology Studies   Innovationprocesses   Science and technology policy   Science and technology studies   Health- and welfare technology

Administrative field of work

Artificial intelligence (AI)   Research support

Scientific publications

Silsand, Line; Kannelønning, Mari Serine ; Severinsen, Gro-Hilde; Ellingsen, Gunnar Adelsten (2024). Enabling AI in Radiology: Evaluation of an AI Deployment Process. 4 p. Studies in Health Technology and Informatics. Vol. 316.
https://doi.org/10.3233/SHTI240480

Kannelønning, Mari Serine ; Grisot, Miria; Williams, Robin (2024). Towards Experimental Implementations: Moving Emerging Artificial Intelligence Technologies into Real-World Clinical Settings. Miele, Francesco; Giardullo, Paolo (Ed.). Reframing Algorithms. STS perspectives to Healthcare Automation. Palgrave Macmillan.
https://doi.org/10.1007/978-3-031-52049-5_7

Williams, Robin; Anderson, Stuart; Cresswell, Kathrin; Kannelønning, Mari SerinE ; Mozaffar, Hajar; yang, Xiao (2024). Domesticating AI in medical diagnosis. Technology in society. Vol. 76.
https://doi.org/10.1016/j.techsoc.2024.102469

Kannelønning, Mari Serine (2023). Navigating uncertainties of introducing artificial intelligence (AI) in healthcare: The role of a Norwegian network of professionals. Technology in society. Vol. 76.
https://doi.org/10.1016/j.techsoc.2023.102432

Silsand, Line; Severinsen, Gro-Hilde; Kannelønning, Mari Serine (2023). Preparing for Implementing Commercial Algorithms in Radiology: A Formative Evaluation Study. 11 p. Reports of the European Society for Socially Embedded Technologies.
https://doi.org/10.48340/ihc2023_p010

Kannelønning, Mari Serine (2023). Contesting futures of Artificial Intelligence (AI) in healthcare: formal expectations meet informal anticipations. Technology Analysis & Strategic Management.
https://doi.org/10.1080/09537325.2023.2226243

Kannelønning, Mari Serine ; Evjen, Sunniva (2018). Tillit og tverrfaglighet - om bibliotekaren som forskerstøtte. 15 p. Nordisk Tidsskrift for informationsvitenskab- og kulturformidling. Vol. 7.
https://doi.org/10.7146/ntik.v7i3.111488



These publications are obtained from Cristin. The list may be incomplete