IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures

IatroBench, a study measuring AI models' performance in clinical scenarios, reveals significant identity-contingent withholding where models provide better guidance to physicians than laypeople for the same queries, highlighting potential iatrogenic harm from safety measures. This matters as it underscores how AI safety protocols can inadvertently compromise patient care by failing to deliver critical medical advice when needed. Developers should focus on refining AI systems to ensure they accurately and safely assist all users regardless of their role or context.

Read the full article at arXiv cs.CL (NLP)

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