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On the Justified Use of AI Decision Support in Evidence-Based Medicine

Validity, Explainability, and Responsibility

Bibliographic Data

ID21598406
AuthorsSune Holm (0000-0002-3812-7942, University of Copenhagen, corresponding author)
Year2023
Pages1-7
Publication date2023-06-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCambridge Quarterly of Healthcare Ethics (JOURNAL)
Journal identifiersISSN: 0963-1801 • E-ISSN: 1469-2147
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0963180123000294
PMID37293823
OpenAlexW4379967582
LanguageEN
Citations received4
References cited20

When is it justified to use opaque artificial intelligence (AI) output in medical decision-making? Consideration of this question is of central importance for the responsible use of opaque machine learning (ML) models, which have been shown to produce accurate and reliable diagnoses, prognoses, and treatment suggestions in medicine. In this article, I discuss the merits of two answers to the question. According to the Explanation View, clinicians must have access to an explanation of why an output was produced. According to the Validation View, it is sufficient that the AI system has been validated using established standards for safety and reliability. I defend the Explanation View against two lines of criticism, and I argue that within the framework of evidence-based medicine mere validation seems insufficient for the use of AI output. I end by characterizing the epistemic responsibility of clinicians and point out how a mere AI output cannot in itself ground a practical conclusion about what to do

Criticism · Epistemology · Evidence-based medicine · Medical diagnosis · MEDLINE · Pathology · Political science · Artificial Intelligence in Healthcare and Education · Clinical Reasoning and Diagnostic Skills · Computer Science · Explainable Artificial Intelligence (XAI · Law · Mathematics · Medicine · Philosophy · Psychology · Artificial Intelligence

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    Open Access•Cynthia Rudin•Nature Machine Intelligence•2019

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    Open Access•Glyn Elwyn, Steven Laitner et al.•BMJ•2010

  • Artificial Intelligence and Black‐Box Medical Decisions

    Open Access•Alex John London•The Hastings Center Report•2019

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    Open Access•Jens Christian Bjerring, Jacob Busch•Philosophy & Technology•2021

  • Why The Nation Needs A Policy Push On Patient-Centered Health Care

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Unique citing works4
Citations per year1.33
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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Open DOIOpen Access
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