AI fails to reliably assess the quality of medical multiple-choice questions, proving human expertise remains irreplaceable.
FO Take · Score 10
The vaunted efficiency of AI in education is a mirage. LLMs cannot discern nuance or contextual relevance in complex subjects like medicine, rendering their 'assessments' superficial and dangerous. Relying on algorithms for quality assurance in medical education risks producing incompetent practitioners. Proper evaluation demands expert human judgment, not silicon fakery.
The strongest counter
LLMs offer a valuable first pass for identifying obvious issues, freeing human experts to focus on subtle refinements. Their speed and scalability make them indispensable for streamlining assessment pipelines.
