Artificial intelligence in medicine and the negative outcome penalty paradox

Journal of Medical Ethics 51 (1):34-36 (2024)
  Copy   BIBTEX

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.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 101,130

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

The promise and perils of AI in medicine.Robert Sparrow & Joshua James Hatherley - 2019 - International Journal of Chinese and Comparative Philosophy of Medicine 17 (2):79-109.

Analytics

Added to PP
2024-05-16

Downloads
24 (#906,477)

6 months
12 (#290,681)

Historical graph of downloads
How can I increase my downloads?