About
AI in research
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, where I study the introduction and use of AI in healthcare, including the effects of AI implementations on organisation and work.
AI 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/research areas
My background is in organisational studies, technology studies and information studies, and my main interests and areas of research are:
- AI in healthcare, research practices and society at large
- The introduction, adoption and scaling of AI
- Human-AI configurations
- Effects of AI implementations on organisation and work
- Technological expectations and promises
- Innovation processes and sociotechnical change
- The implementation and use of information systems
Additional positions
- Board member, The Science Studies Colloquium Series, University of Oslo
- Researcher at the Department of Informatics, University of Oslo
- Researcher at the Norwegian Centre for e-Health Research
- As a PhD, I was the leader of the PhD student council of the Norwegian Artificial Intelligence Research Consortium Research School (NORA) and a school board member.
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
Publications and research
Scientific publications
Severinsen, Gro-Hilde; Pedersen, Rune; Ellingsen, Gunnar; Graff, Bjørn Anton; Tveiten, Line;
Kannelønning, Mari Serine
; Silsand, Line
(2025).
Implementing and Scaling Commercial AI in Public Healthcare Settings: Experiences from Norway.
4 p.
Studies in Health Technology and Informatics.
Vol. 326.
https://doi.org/10.3233/SHTI250226
Severinsen, Gro-Hilde; Pedersen, Rune; Ellingsen, Gunnar;
Kannelønning, Mari Serine
; Silsand, Line
(2025).
Comparing a Top-Down and a Bottom-Up Approach for Implementing AI in Radiology Practice.
1 p.
Studies in Health Technology and Informatics.
Vol. 327.
https://doi.org/10.3233/SHTI250368
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. p. 147-172.
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
