Sign inGet started
Paper · arXiv

Risk and Refusal: Mechanisms of LLM Responses to Suicidal Ideation

Refusal is a common safety mechanism in large language models (LLMs), yet in contexts of suicidal ideation (SI), refusing to engage can itself constitute a safety failure. We evaluate how eight instruction-tuned LLMs respond to SI and self-harm disclosures across three datasets, varying whether models are informed that a disclosure expresses SI and whether they receive a clinician-developed response protocol, and complement this with mechanistic analyses in six open-weight models. Our results reveal a nuanced relationship between refusal and response-level risk. At baseline, elevated risk in model responses is driven primarily by inattention to the disclosure, alongside refusal to engage....

AuthorsDrishti Goel, Soorya Ram Shimgekar, Jeongah Lee et al.
Primary categorycs.HC
Published15 October 2026
Last updated at source15 October 2026
cs.HCcs.CLcs.CYcs.SI
Embed this entry
<iframe src="https://silytics.si/embed/item/c4b04dc0-54e6-4ef3-85ef-05d5aeb6f770" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 6 days

0 now. Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 24 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.