About
Artificial Intelligence (AI) is expected to play an essential role in providing sustainable healthcare delivery in the future. In my doctoral project, I study ongoing work attempting to achieve such a future. Fundamentally, I am interested in questions such as: How do the actors involved, including health authorities, AI researchers, vendors, physicians and hospital managers, see the future with AI? How do they discuss and plan for the introduction of these technologies in healthcare? Which decisions are made by whom, and which implications may these decisions have? What happens as AI gets closer to implementation and is taken into use? My approach to these topics is explorative and qualitative, and the theoretical framework draws upon concepts and perspectives from Science and Technology Studies (STS).
Academic interests:
- Artificial Intelligence (AI)
- The introduction and adoption of AI in healthcare
- Sustainable scaling of AI in healthcare
- Platformisation of AI
- Human-AI configurations
- Technological expectations and promises
- Emerging technologies
- Innovation processes and sociotechnical change
- The implementation and use of information systems
I'm the leader of the PhD student council of NORA - the Norwegian Artificial Intelligence Research Consortium's Research School, and a school board member.
Furthermore, I have an additional research position at the National Center for e-Health Research and the project 'Better Use of Artificial Intelligence in Norwegian Specialist Health Services'. As a part of this job, I'm studying the implementation and initial use of a platform for AI applications at a larger hospital trust.
For full CV, see LinkedIn: https://www.linkedin.com/in/mkanneloenning
Research groups
Publications and research
Scientific publications
Kannelønning, Mari Serine; Evjen, Sunniva
(2018).
Tillit og tverrfaglighet - om bibliotekaren som forskerstøtte.
Nordisk Tidsskrift for informationsvitenskab- og kulturformidling
.
Vol. 7.
https://tidsskrift.dk/ntik/issue/view/8033/NTIK_%C...
