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Artificial intelligence in medicine and the negative outcome penalty paradox.

Jacob M Appel
Published in: Journal of medical ethics (2024)
Artificial intelligence (AI) holds considerable promise for transforming clinical diagnostics. While much has been written both about public attitudes toward the use of AI tools in medicine and about uncertainty regarding legal liability that may be delaying its adoption, the interface of these two issues has so far drawn less attention. However, understanding this interface is essential to determining how jury behaviour is likely to influence adoption of AI by physicians. One distinctive concern identified in this paper is a 'negative outcome penalty paradox' (NOPP) in which physicians risk being penalised by juries in cases with negative outcomes, whether they overrule AI determinations or accept them. The paper notes three reasons why AI in medicine is uniquely susceptible to the NOPP and urges serious further consideration of this complex dilemma.
Keyphrases
  • artificial intelligence
  • big data
  • machine learning
  • deep learning
  • primary care
  • electronic health record
  • type diabetes
  • working memory
  • adipose tissue
  • weight loss
  • glycemic control
  • breast cancer risk