Скачать или смотреть I Investigated AI Generated MCQs and Found a Disturbing 6% Problem

The 6% Problem in AI-generated MCQs
In medical education, one recent study revealed something alarming:
AI-generated MCQs had a 6% factual error rate
Human-created MCQs had a 4% error rate
On the surface, 6% may not sound like much.

But in medicine, 6% can be the difference between life and death.

A broader study painted an even starker picture:
80% of AI-generated questions violated at least one quality guideline
73% contained major measurement errors

Why does this happen?

Because AI models like GPT-4 and GPT-5 don’t “understand” knowledge.
They predict words based on patterns.
This leads to hallucinations, confidently wrong or misleading questions.

Even with the latest improvements, AI still can’t:
✅ Verify truth
✅ Apply ethical judgment
✅ Ensure clinical safety

👉 That’s why human oversight is essential.

AI can be a powerful partner in assessment design, but it cannot replace the judgment, context, and responsibility of experienced educators.

In part three of this series, I’ll unpack how AI struggles with deeper thinking and why most of its questions test only surface-level recall.

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