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Artificial intelligence in medicine and the negative outcome penalty paradox
  1. Jacob M Appel
  1. Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
  1. Correspondence to Dr Jacob M Appel, Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; jacobmappel{at}gmail.com

Abstract

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.

  • Malpractice
  • Ethics- Medical
  • Decision Making

Data availability statement

Data sharing not applicable as no datasets generated and/or analysed for this study.

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Data availability statement

Data sharing not applicable as no datasets generated and/or analysed for this study.

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Footnotes

  • Contributors JMA is the sole author and solely responsible for the content of this manuscript.

  • Funding The author has not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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