About
AI in research
I am responsible for the University Library's AI services for researchers. I support researchers in exploring and critically assessing the opportunities and challenges of using AI tools in various parts of the research process. I do so mainly by organising workshops and courses.
Research on AI in healthcare
I hold a PhD from OsloMet in social sciences and the introduction of AI in specialist healthcare services. In my doctoral project, I examined how various stakeholders, including government authorities, hospital managers, physicians, AI researchers and vendors, worked to shape a future with AI in the present. The project took a qualitative approach and was theoretically grounded in Science and Technology Studies (STS).
I am currently studying the implementation and use of AI in Norwegian healthcare services. My research focuses primarily on how AI-based technologies for image diagnostics and documentation (ambient scribe) influence existing work practices and the organisations into which they are introduced.
Academic interests/research areas
My academic background is in organisational studies, technology studies and information studies. My main interests and areas of research include:
- AI in healthcare, research practices and society at large
- The implementation, adoption and scaling of AI in and across various organisations
- Consequences of AI implementation and use on the healthcare services, work practices and organisations
- Human-machine configurations
- Technological expectations and promises
- Innovation processes and sociotechnical change
- Science and Technology Studies (STS) and Information Systems (IS)
Additional positions
- Board member, The Science Studies Colloquium Series, University of Oslo
- Former researcher at the Department of Informatics, University of Oslo
- Former researcher at the Norwegian Centre for e-Health Research
- Former chair 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
Field of study
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
Research groups
Publications and research
Scientific publications
Vikan, Magnhild
;
Aryan, Ramtin
;
Kannelønning, Mari Serine
;
Riegler, Michael
;
Danielsen, Stein Ove
(2025).
Reflecting on LLM Support in Reflexive Thematic Analysis: An Exploratory Study.
Qualitative Health Research.
https://doi.org/10.1177/10497323251365211
Soetens, Esli;
Kannelønning, Mari Serine
; Grisot, Miria
(2025).
"Frictions In AI Implementation In Specialised Norwegian Healthcare: An interview-based study".
Li, Magnus; Hylving, Lena; Mønsted, Troels Sune (Ed.).
The proceedings of the 16th Scandinavian Conference on Information Systems (SCIS) held in Oslo, Norway, 2025.
Association for Information Systems (AIS).
https://doi.org/https://aisel.aisnet.org/scis2025/
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.
Studies in Health Technology and Informatics.
Vol. 326.
https://doi.org/10.3233/SHTI250226
Silsand, Line;
Kannelønning, Mari Serine
; Severinsen, Gro-Hilde; Ellingsen, Gunnar Adelsten
(2024).
Enabling AI in Radiology: Evaluation of an AI Deployment Process.
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).
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
Silsand, Line; Severinsen, Gro-Hilde;
Kannelønning, Mari Serine
(2023).
Preparing for Implementing Commercial Algorithms in Radiology: A Formative Evaluation Study.
Reports of the European Society for Socially Embedded Technologies.
https://doi.org/10.48340/ihc2023_p010
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
Kannelønning, Mari Serine
;
Evjen, Sunniva
(2018).
Tillit og tverrfaglighet
- om bibliotekaren som forskerstøtte.
Nordisk Tidsskrift for informationsvitenskab- og kulturformidling.
Vol. 7.
https://doi.org/10.7146/ntik.v7i3.111488
