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dc.contributor.authorLAGIOIA, Francesca
dc.contributor.authorCONTISSA, Giuseppe
dc.date.accessioned2020-10-30T13:41:52Z
dc.date.available2020-10-30T13:41:52Z
dc.date.issued2020
dc.identifier.citationEuropean journal of legal studies, 2020, Vol. 12, No. 2, pp. 245-289en
dc.identifier.issn1973-2937
dc.identifier.urihttps://hdl.handle.net/1814/68757
dc.descriptionPublished online on 30 November 2020
dc.description.abstractThis paper investigates the legal issues emerging from the adoption of clinical decision support systems (CDSS) based on artificial intelligence (AI). We explore a set of questions whose answers may affect the allocation of liability in misdiagnosis and/or improper treatment scenarios. The characteristic features of new-generation CDSS based on AI raise new challenges. In particular, the argument is made that a new shared decision-making authority model shall be adopted, in line with the analysis of the task–responsibility allocation. It is also suggested that the level of automation should be taken into account in classifying these systems under the European regulations on medical device software. This classification may indeed affect not only the certification procedures but also the allocation of liability. To this end, we finally design some scenarios providing variations on the possible causes of failure in the decision-making process and the consequent liability assessment.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.relation.urihttps://ejls.eui.eu/en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectArtificial intelligence
dc.subjectClinical decision support systems
dc.subjectLiability and automation
dc.titleThe strange case of Dr Watson : liability implications of AI evidence-based decision support systems in health careen
dc.typeArticleen
dc.identifier.doi10.2924/EJLS.2019.028
dc.identifier.volume12en
dc.identifier.startpage241
dc.identifier.endpage289
eui.subscribe.skiptrue
dc.identifier.issue2en


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