About
My area of work is artificial intelligence (AI) and research support, focusing on the use of AI tools in research practices. I also lead an AI group that works to enhance the understanding of technology and information literacy related to AI among students and staff.
In January 2024, I defended my doctoral thesis on AI in healthcare services at OsloMet and the PhD program in Social Sciences and the area of information studies.
Artificial intelligence in healthcare (PhD project)
My doctoral project investigated the introduction of AI in the Norwegian healthcare services. It did so by focusing on how the future with AI is envisioned and prepared for in the present by different actors, including health authorities, AI researchers, AI vendors, physicians and hospital managers.
Fundamentally, I am interested in questions such as how actors involved in such processes see the future with the emerging technology, how they discuss and plan for their introduction, which decisions are made by whom, which implications such decisions may have, and, finally, what happens during implementation and 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
- Artificial Intelligence (AI) in healthcare, research practices and society at large
- The introduction, adoption and scaling of AI
- Platformisation and AI
- Human-AI configurations
- Technological expectations and promises
- Innovation processes and sociotechnical change
- The implementation and use of information systems
Other positions
- Researcher at the Department for Informatics at the University of Oslo and a part of the project AI4users: https://ai4users.uia.no
- Researcher at the National Center for e-Health Research and the project Better Use of Artificial Intelligence in Norwegian Specialist Health Services. The project studies the implementation and adoption of AI applications made available through an AI platform at a large Norwegian hospital trust.
https://ehealthresearch.no/en/projects/better-use-of-artificial-intelligence-in-the-norwegian-specialist-health-services
- 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
Artificial intelligence Science and Technology Studies Science and technology studies Innovation in the public sector Innovationprocesses Science and technology policy Science and technology studies Artificial intelligence in health and ethics Health- and welfare technology Information technology
Publications and research
Scientific publications
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
