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Automation bias and overconfidence in artificial intelligence and associated legal implications
1Yale School of Medicine, Department of Diagnostic Radiology and Biomedical Imaging, 333 Cedar Street, TE2, New Haven, CT 06520, United States of America.
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As use of artificial intelligence algorithms in clinical practice becomes more commonplace, radiologists may become overconfident in the abilities of these applications or succumb to automation bias. However misplaced confidence in artificial intelligence may have legal implications. This article makes a number of recommendations for radiologists to help temper biases and limit liability as algorithms become more prevalent in practice.
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