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Clinicians Risk Becoming "Liability Sinks" for Artificial Intelligence
1
Zitationen
10
Autoren
2023
Jahr
Abstract
The benefits of AI in healthcare will only be realised if we considerthe whole clinical context and the AI's role in it. The current, standard model of AI-supported decision-making inhealthcare risks reducing the clinician's role to a mere 'sense check'on the AI, whilst at the same time leaving them to be held legallyaccountable for decisions made using AI. This model means that clinicians risk becoming "liability sinks",unfairly absorbing liability for the consequences of an AI'srecommendation without having sufficient understanding or practicalcontrol over how those recommendations were reached. Furthermore, this could have an impact on the "second victim"experience of clinicians. It also means that clinicians are less able to do what they are bestat, specifically exercising sensitivity to patient preferences in ashared clinician-patient decision-making process. There are alternatives to this model that can have a more positiveimpact on clinicians and patients alike.
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