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Medicine stands at its largest technological inflection point in a century, yet the profession remains culturally unprepared to absorb artificial intelligence (AI).We argue that the central obstacle is not technical but dispositional: hubris, the drift of healthy clinical confidence into arrogance and resistance to feedback.Drawing on the psychology of power, the cognitive science of diagnostic error, and a 2,500-year history from the Hippocratic Corpus through Galen, Ibn Rushd, Semmelweis, and the amyloid hypothesis, we trace how individual bias and collective thought have repeatedly delayed beneficial change at the cost of preventable harm.The exposure this time differs in kind: algorithmic judgment is opaque to most of the clinicians who must act on it, and responsibility for it is shared so widely that no single party owns the result.We characterize forms of AI hubris (technological, regulatory, institutional, clinical, replacement, and ethical) and show how each re-enacts an older pattern in which confidence outruns calibration.We propose a corrective agenda: selecting and training for intellectual humility, retiring pedagogies of dominance, and treating AI as a hypothesis requiring prospective, locally validated evidence rather than a product to be trusted on clearance alone.Concretely, this means weighing intellectual humility in medical school admissions, retiring the pimping ritual from bedside teaching, and giving Patient and Family Advisory Councils explicit authority over AI procurement and deployment.Epistemic humility, we conclude, is the precondition for the responsible adoption of intelligent medicine.
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Sarwal et al. (2026) studied this question.
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