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Healthy Mistrust: Medical Black Box Algorithms, Epistemic Authority, and Preemptionism

2024·5 Zitationen·Cambridge Quarterly of Healthcare EthicsOpen Access
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5

Zitationen

1

Autoren

2024

Jahr

Abstract

In the ethics of algorithms, a specifically <i>epistemological</i> 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 (<i>preemptionism</i>). 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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Themen

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AIEthics in Clinical Research
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