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 have built their own clinical judgment? The idea of deskilling implies that someone possessed an ability and then lost it. Here, the dang

Related evidence

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

How to cite this record

ethics.ai (10 August 2026), “What happens when medical students rely on AI – and never develop their own judgment? | Simar Bajaj and Joseph Sakran,” evidence record 17988, https://ethics.ai/record/17988 (originally published by The Guardian).

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.