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Artificial intelligence has begun to be incorporated into medicine to improve patient care. However, the view of the general population on this topic has been ignored. Though, it is crucial to study their view since this determines the purposes for which and the boundaries within which AI systems should be developed and operate in medical practice. In the proposed project we aim to map the general populations’ view on the implementation of AI in medicine. Furthermore, we experimentally test agree-disagree and construct-specific scales to study their affects on data quality. This project will answer important medical and methodological questions which are relevant for survey practice, general medicine, and society as a whole.
Photo by Chris Liverani on Unsplash