This 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.

The strange case of Dr. Watson: liability implications of AI evidence-based decision support systems in health care

Francesca Lagioia;Giuseppe Contissa
2020

Abstract

This 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.
EUROPEAN JOURNAL OF LEGAL STUDIES
Francesca Lagioia; Giuseppe Contissa
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/763572
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