When Doctors and AI Interact: on Human Responsibility for Artificial Risks

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dc.contributor.authorVerdicchio, M.
dc.contributor.authorPerin, A.
dc.date.accessioned2022-06-28T19:05:15Z
dc.date.available2022-06-28T19:05:15Z
dc.date.issued2022-02
dc.descriptionIndexación: Scopus.es
dc.description.abstractA discussion concerning whether to conceive Artificial Intelligence (AI) systems as responsible moral entities, also known as “artificial moral agents” (AMAs), has been going on for some time. In this regard, we argue that the notion of “moral agency” is to be attributed only to humans based on their autonomy and sentience, which AI systems lack. We analyze human responsibility in the presence of AI systems in terms of meaningful control and due diligence and argue against fully automated systems in medicine. With this perspective in mind, we focus on the use of AI-based diagnostic systems and shed light on the complex networks of persons, organizations and artifacts that come to be when AI systems are designed, developed, and used in medicine. We then discuss relational criteria of judgment in support of the attribution of responsibility to humans when adverse events are caused or induced by errors in AI systems.es
dc.description.urihttps://link-springer-com.recursosbiblioteca.unab.cl/article/10.1007/s13347-022-00506-6
dc.identifier.citationPhilosophy and Technology, Volume 35, Issue 1, March 2022, Article number 11es
dc.identifier.doi10.1007/s13347-022-00506-6
dc.identifier.issn2210-5433
dc.identifier.urihttps://repositorio.unab.cl/xmlui/handle/ria/23028
dc.language.isoenes
dc.publisherSpringer Science and Business Media B.V.es
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://link-springer-com.recursosbiblioteca.unab.cl/article/10.1007/s13347-022-00506-6#rightslink
dc.subjectArtificial Intelligencees
dc.subjectDue diligencees
dc.subjectMedicinees
dc.subjectMoral agencyes
dc.subjectPrinciple of confidencees
dc.subjectResponsibilityes
dc.titleWhen Doctors and AI Interact: on Human Responsibility for Artificial Riskses
dc.typeArtículoes
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