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 accordin...
| Main Author: | |
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| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Interlibrary Loan: | Interlibrary Loan for the Fachinformationsdienste (Specialized Information Services in Germany) |
| Published: |
2024
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| In: |
Cambridge quarterly of healthcare ethics
Year: 2024, Volume: 33, Issue: 3, Pages: 370-379 |
| Further subjects: | B
preemptionism
B Epistemology B Black box algorithms B ethics of algorithms B Trust |
| Online Access: |
Volltext (kostenfrei) Volltext (kostenfrei) |
| Summary: | 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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| ISSN: | 1469-2147 |
| Contains: | Enthalten in: Cambridge quarterly of healthcare ethics
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| Persistent identifiers: | DOI: 10.1017/S0963180123000646 |
