Four 2026 papers show AI-generated questions now match human ones on paper, but validity, fairness and the human sign-off are where the real work still sits.
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Most of the debate about AI in medical education has been about learning: how students revise, how we teach, whether a chatbot helps or hinders. Assessment has had less attention, which is odd, because assessment is where the stakes are highest. A wrong answer in a revision session is a teaching moment. A flawed item in a licensing exam is a fairness pr…
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