What happens when medical students rely on AI – and never develop their own judgment? | Simar Bajaj and Joseph Sakran
AI’s danger isn’t just in experts losing the ability to reason. It’s that trainees may never learn how to do so in the first place In healthcare, there’s growing concern over doctors becoming less clinically adept as they increasingly rely on AI tools. But what about the trainees – medical students, residents and fellows – who are using these tools before they’ve built their own clinical judgment? The idea of deskilling implies that someone possessed an ability and then lost it. Here, the danger is not just deskilling but never-skilling. Although a doctor who has forgotten how to reason is re…
Who should care: General readers · AI governance · Policy
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