Phronesis of AI in radiology: Superhuman meets natural stupidity
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by
Judy W. Gichoya, Siddhartha Nuthakki, Pallavi G. Maity, Saptarshi
Purkayastha
2018
Abstract
Advances in AI in the last decade have clearly made economists, politicians,
journalists, and citizenry in general believe that the machines are coming to
take human jobs. We review 'superhuman' AI performance claims in radiology and
then provide a self-reflection on our own work in the area in the form of a
critical review, a tribute of sorts to McDermotts 1976 paper, asking the field
for some self-discipline. Clearly there is an opportunity to replace humans,
but there are better opportunities, as we have discovered to fit cognitive
abilities of human and non-humans. We performed one of the first studies in
radiology to see how human and AI performance can complement and improve each
others performance for detecting pneumonia in chest X-rays. We question if
there is a practical wisdom or phronesis that we need to demonstrate in AI
today as well as in our field. Using this, we articulate what AI as a field has
already and probably can in the future learn from Psychology, Cognitive
Science, Sociology and Science and Technology Studies.
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