Aiming AI at a moving target: health

AI and Society 35 (4):841-849 (2020)
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Abstract

Justified by spectacular achievements facilitated through applied deep learning methodology, the “Everything is possible” view dominates this new hour in the “boom and bust” curve of AI performance. The optimistic view collides head on with the “It is not possible”—ascertainments often originating in a skewed understanding of both AI and medicine. The meaning of the conflicting views can be assessed only by addressing the nature of medicine. Specifically: Which part of medicine, if any, can and should be entrusted to AI—now or at some moment in the future? AI or not, medicine should incorporate the anticipation perspective in providing care.

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Author's Profile

Mihai Nadin
University of Texas at Dallas

References found in this work

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