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...

Description complète

Enregistré dans:  
Détails bibliographiques
Auteurs: Wabro, Andreas 1994- (Auteur) ; Herrmann, Markus (Auteur) ; Winkler, Eva C. 1971- (Auteur)
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
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)
Description
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.
Description:Online veröffentlicht: 18. September 2024
Gesehen am 09.12.2024
Description matérielle:5
ISSN:1473-4257
Contient:Enthalten in: Journal of medical ethics
Persistent identifiers:DOI: 10.1136/jme-2024-110046