When time is of the essence: ethical reconsideration of XAI in time-sensitive environments
The objective of explainable artificial intelligence systems designed for clinical decision support (XAI-CDSS) is to enhance physicians’ diagnostic performance, confidence and trust through the implementation of interpretable methods, thus providing for a superior epistemic positioning, a robust fou...
| Auteurs: | ; ; |
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| Type de support: | Électronique Article |
| Langue: | Anglais |
| Vérifier la disponibilité: | HBZ Gateway |
| WorldCat: | WorldCat |
| Interlibrary Loan: | Interlibrary Loan for the Fachinformationsdienste (Specialized Information Services in Germany) |
| Publié: |
2025
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| Dans: |
Journal of medical ethics
Année: 2025, Volume: 51, Numéro: 8, Pages: 516-520 |
| Sujets non-standardisés: | B
Decision Making
B Policy B Ethics B Ethics- Medical B Information Technology |
| Accès en ligne: |
Volltext (kostenfrei) Volltext (kostenfrei) Volltext (kostenfrei) |
| Résumé: | The objective of explainable artificial intelligence systems designed for clinical decision support (XAI-CDSS) is to enhance physicians’ diagnostic performance, confidence and trust through the implementation of interpretable methods, thus providing for a superior epistemic positioning, a robust foundation for critical reflection and trustworthiness in times of heightened technological dependence. However, recent studies have revealed shortcomings in achieving these goals, questioning the widespread endorsement of XAI by medical professionals, ethicists and policy-makers alike. Based on a surgical use case, this article challenges generalising calls for XAI-CDSS and emphasises the significance of time-sensitive clinical environments which frequently preclude adequate consideration of system explanations. Therefore, XAI-CDSS may not be able to meet expectations of augmenting clinical decision-making in specific circumstances where time is of the essence. This article, by employing a principled ethical balancing methodology, highlights several fallacies associated with XAI deployment in time-sensitive clinical situations and recommends XAI endorsement only where scientific evidence or stakeholder assessments do not contradict such deployment in specific target settings. |
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| Description: | Online veröffentlicht: 18. September 2024 Gesehen am 09.12.2024 |
| Description matérielle: | 5 |
| ISSN: | 1473-4257 |
| Contient: | Enthalten in: Journal of medical ethics
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| Persistent identifiers: | DOI: 10.1136/jme-2024-110046 |