AI and Suicide Prevention: A Cross-Sector Primer
A 38-page primer prepared as the pre-read for a March 2026 Partnership on AI multistakeholder workshop on AI and suicide prevention, lightly revised for distribution. It summarises clinical best practice on suicide and non-suicidal self-injury, aggregates the public suicide and self-harm policies of frontier AI labs as of February 2026, introduces a Model/Product/Policy layer framework, and reviews evaluation approaches and frameworks (including VERA-MH, the 2026 Frontier AI Auditing Framework and Common Sense Media's November 2025 assessment) before setting out workshop priorities.
Publisher
Partnership on AI (via arXiv)
Published
5 May 2026
Added
today
DOI
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Key Findings
- All frontier labs surveyed except DeepSeek publish some policy for responding to suicide and self-harm language; the primer tabulates them as of February 2026.
- Evaluations across academic, nonprofit and lab sources converge on one gap: high single-turn accuracy on explicit crisis prompts but failure in multi-turn interactions where symptoms emerge gradually.
- The primer frames challenges across model, product and policy layers and lists cross-industry benchmark development as the near-term priority that emerged from the workshop.
Methodology Notes
Narrative synthesis of clinical literature, public lab policies, evaluation frameworks and expert conversations; no new empirical data. arXiv v1 2026-05-05, v2 2026-05-07 (cs.CY, cs.HC). The held June 2026 PAI web resource 'How AI Companies are Handling Suicide and Self-Harm Today' appears to be a derivative of the primer's policy section; the PAI page does not link the arXiv document. Verification: arXiv abs 200 and PDF v2 200 (2,066,677 bytes; title page names the March 2026 workshop).
Sources
Topics
Authors
Emily Saltz, Claire R. Leibowicz
Tags
Cite This
APA
Emily Saltz, Claire R. Leibowicz. (2026). AI and Suicide Prevention: A Cross-Sector Primer. Partnership on AI (via arXiv). https://arxiv.org/abs/2605.04321
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