Reframing the responsibility gap in medical artificial intelligence: insights from causal selection and authorship attribution
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DOI: 10.1136/jme-2024-110600
Abstract: The increasing use of AI in healthcare has sparked debates about responsibility and accountability for AI-related errors. The difficulty in attributing moral responsibility for undesirable outcomes caused by increasingly autonomous (often opaque) AI systems has… read more here.
Keywords: responsibility gap; causal selection; gap medical; authorship attribution ... See more keywords