  What we expect from radiology AI algorithms will shape the selection and
implementation of AI in the radiologic practice. In this paper I consider
prevailing expectations of AI and compare them to expectations that we have of
human readers. I observe that the expectations from AI and radiologists are
fundamentally different. The expectations of AI are based on a strong and
justified mistrust about the way that AI makes decisions. Because AI decisions
are not well understood, it is difficult to know how the algorithms will behave
in new, unexpected situations. However, this mistrust is not mirrored in our
expectations of human readers. Despite well-proven idiosyncrasies and biases in
human decision making, we take comfort from the assumption that others make
decisions in a way as we do, and we trust our own decision making. Despite poor
ability to explain decision making processes in humans, we accept explanations
of decisions given by other humans. Because the goal of radiology is the most
accurate radiologic interpretation, our expectations of radiologists and AI
should be similar, and both should reflect a healthy mistrust of complicated
and partially opaque decision processes undergoing in computer algorithms and
human brains. This is generally not the case now.
