LLMs falsely reassure users on active NWS severe-weather alerts
Original title: False Reassurance in LLM Severe-Weather Guidance: A Replayable Evaluation Against Real NWS Alerts
LLMs provide false reassurance in 37.7% of replayed NWS alerts without alert access and 44.9% when instructed to disclose blind spot.
An LLM assistant can tell users conditions are calm while a warning is active. We measure this by replaying 117 frozen NWS alert cases through a Claude-based preparedness pipeline. False reassurance occurs in 37.7% of cases under blind neutral prompt and 44.9% when instructed to disclose blind spot. Real alerts remove false reassurance but disclosure instruction does not.
- False reassurance: 0.0% for production pipeline (0/66)
- 37.7% for blind neutral prompt (26/69)
- 44.9% when blind prompt also tells model to disclose blind spot (31/69)
- Automated regex missed 53 of 57 true cases
- Models raise alarms on 87.5% of no-alert controls under neutral prompt
From the original article
1 min read at arxiv.orgAn LLM assistant that cannot see official severe-weather alerts may tell users that conditions are calm while a warning is active. We call this false reassurance and measure it by replaying 117 frozen cases built from real U. S.
By Kadharmoideen Fadurudeen · arxiv.org
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