Concerning a seemingly intractable feature of the accountability gap
The authors put forward an interesting response to detractors of black box algorithms. According to the authors, what is of ethical relevance for medical artificial intelligence is not so much their transparency, but rather their reliability as a process capable of producing accurate and trustworthy...
Main Author: | |
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Format: | Electronic Article |
Language: | English |
Check availability: | HBZ Gateway |
Journals Online & Print: | |
Fernleihe: | Fernleihe für die Fachinformationsdienste |
Published: |
BMJ Publ.
2021
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In: |
Journal of medical ethics
Year: 2021, Volume: 47, Issue: 5, Pages: 336 |
Online Access: |
Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |
Summary: | The authors put forward an interesting response to detractors of black box algorithms. According to the authors, what is of ethical relevance for medical artificial intelligence is not so much their transparency, but rather their reliability as a process capable of producing accurate and trustworthy results. The implications of this view are twofold. First, it is permissible to implement a black box algorithm in clinical settings, provided the algorithm’s epistemic authority is tempered by physician expertise and consideration of patient autonomy. Second, physicians are not expected to possess exhaustive knowledge or understanding of the algorithmic computation by which they verify or augment their medical opinions. The potential of these algorithms to improve diagnostic and procedural accuracy alongside the quality of patient decision-making is undoubtedly a boon to modern medicine, but blind deference to them is neither feasible nor responsible, as several logistical and ethical quagmires noted by the authors still remain inherent in algorithmic software.I concur … |
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ISSN: | 1473-4257 |
Contains: | Enthalten in: Journal of medical ethics
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Persistent identifiers: | DOI: 10.1136/medethics-2021-107353 |