健康的不信任:医疗黑盒算法、认识论权威和先发制人。

IF 1.5 4区 医学 Q3 HEALTH CARE SCIENCES & SERVICES
Andreas Wolkenstein
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引用次数: 0

摘要

在算法伦理学中,很少有专门的认识论分析来批判(或辩护)对医疗黑盒算法(BBA)的处理或信任。本文旨在填补这一研究空白。具体地说,本文研究的论点是:此类算法被视为认识论权威(EAs),医疗算法的结果必须完全取代患者的其他信念(先验主义)。如果这是真的,那就有理由不信任医学生物统计学。首先,作者介绍了什么是EA以及为什么BBA可以被视为EA。然后,作者将概述优先权主义,并对其进行批评,以此来回答如何处理预期成果的问题。通过讨论,作者提出了将商业实体法作为实体法处理的一些要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Healthy Mistrust: Medical Black Box Algorithms, Epistemic Authority, and Preemptionism.

In the ethics of algorithms, a specifically epistemological analysis is rarely undertaken in order to gain a critique (or a defense) of the handling of or trust in medical black box algorithms (BBAs). This article aims to begin to fill this research gap. Specifically, the thesis is examined according to which such algorithms are regarded as epistemic authorities (EAs) and that the results of a medical algorithm must completely replace other convictions that patients have (preemptionism). If this were true, it would be a reason to distrust medical BBAs. First, the author describes what EAs are and why BBAs can be considered EAs. Then, preemptionism will be outlined and criticized as an answer to the question of how to deal with an EA. The discussion leads to some requirements for dealing with a BBA as an EA.

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来源期刊
CiteScore
2.90
自引率
11.10%
发文量
127
审稿时长
>12 weeks
期刊介绍: The Cambridge Quarterly of Healthcare Ethics is designed to address the challenges of biology, medicine and healthcare and to meet the needs of professionals serving on healthcare ethics committees in hospitals, nursing homes, hospices and rehabilitation centres. The aim of the journal is to serve as the international forum for the wide range of serious and urgent issues faced by members of healthcare ethics committees, physicians, nurses, social workers, clergy, lawyers and community representatives.
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