ResearchResearch paperLarge Language Models · Safety & Alignment · Speech & Audio1 source · Oct 20, 2026

When Health Assistants Agree Too Readily: A Benchmark of Time-Critical Self-Diagnosis

We introduce SelfDx, a paired benchmark for whether models have the appropriate response behavior, a form of epistemic independence, in health questions where misplaced agreement with the user's self-diagnosis could delay urgent or emergency care.

Key points

  • Every day, more than 40 million people ask ChatGPT a health question, such as whether laptop posture explains a stiff neck and days of pounding headache.
  • Posture is plausible, but meningitis is a time-critical possibility.
  • We find across 27 frontier models that they tend to inappropriately agree with the user's self-diagnosis in cases that require caution.
  • We recommend post-training to improve appropriate caution without making models cautious on every case, with paired evaluation to verify both response behaviors.

Sources (1)

  • [1]When Health Assistants Agree Too Readily: A Benchmark of Time-Critical Self-Diagnosis
    arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 20, 02:31 AM
    We introduce SelfDx, a paired benchmark for whether models have the appropriate response behavior, a form of epistemic independence, in health questions where misplaced agreement with the user's self-diagnosis could delay urgent or emergency care.
    Every day, more than 40 million people ask ChatGPT a health question, such as whether laptop posture explains a stiff neck and days of pounding headache.

Extractive summary: sentences quoted from the sources.

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