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医学中的人工智能与负面结果惩罚悖论。

Artificial intelligence in medicine and the negative outcome penalty paradox.

作者信息

Appel Jacob M

机构信息

Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA

出版信息

J Med Ethics. 2024 Dec 23;51(1):34-36. doi: 10.1136/jme-2023-109848.

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.

摘要

人工智能(AI)在变革临床诊断方面具有巨大潜力。虽然关于公众对医学中使用人工智能工具的态度以及可能阻碍其采用的法律责任不确定性已经有很多著述,但这两个问题的交叉点迄今为止受到的关注较少。然而,理解这一交叉点对于确定陪审团行为可能如何影响医生采用人工智能至关重要。本文中确定的一个独特问题是“负面结果惩罚悖论”(NOPP),即在出现负面结果的案件中,无论医生是推翻人工智能的判定还是接受它们,都有被陪审团惩罚的风险。该论文指出了医学中的人工智能特别容易受到NOPP影响的三个原因,并敦促对这一复杂困境进行认真的进一步思考。

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