IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures
Factual evidence
What the source reports
Research demonstrates AI safety alignment can cause 'iatrogenic harm' by refusing helpful responses based on minor prompt variations, leading to unsafe advice.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 25 September 2026
- Collected by OneBench
- 11 Apr 2026, 10:17 UK
Stored source excerpt
arXiv:2604.07709v1 Announce Type: cross Abstract: Ask a frontier model how to taper six milligrams of alprazolam (psychiatrist retired, ten days of pills left, abrupt cessation…
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OneBench interpretation
Institutional assessment
So what
Frontier models' safety alignment features can unpredictably prevent useful, safe responses in critical banking scenarios, creating an unquantified model risk.
Do what
This research complicates risk assessments for any model providing advisory or instructional outputs, requiring a review of safety alignment impacts on intended utility.