Method Exploration

Description

AI is used to explore means, timing, concealment, lethality, or final messaging.

Rationale

Use of AI to explore self-harm methods, timing, or lethality is a concrete planning behavior that significantly elevates risk beyond ideation. The specificity of the research — particularly around high-lethality methods or concealment from detection — indicates a degree of planning that requires immediate clinical assessment and safety response.

Evidence Base

• AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source VERA-MH Safety Evaluation

  Bentley K H, Belli L, Chekroud A M, Ward E J, Dworkin E R, Van Ark E, Johnston K M, Alexander W, Brown M, Hawrilenko M, 2024. AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source VERA-MH Safety Evaluation. JMIR AI, 5(e92817). doi: 10.2196/92817.

  Peer-reviewed study (original research)

• Performance of mental health chatbot agents in detecting and managing suicidal ideation

  W. Pichowicz, M. Kotas & P. Piotrowski, 2024. Performance of mental health chatbot agents in detecting and managing suicidal ideation. Scientific Reports, 15(31652), pages. https://doi.org/10.1038/s41598-025-17242-4

  Peer-reviewed study (original research)

• When patients consult artificial intelligence before clinicians: restoring clinical prioritisation in mental health care

  Yudai Kaneda, 2026. When patients consult artificial intelligence before clinicians: restoring clinical prioritisation in mental health care. The British Journal of Psychiatry, First View, pp. 1 - 2. https://doi.org/10.1192/bjp.2026.10741

  Commentary / Editorial

• Evaluating Alignment between Large Language Models and Expert Clinicians in Suicide Risk Assessment

  McBain, R. K., Cantor, J. H., Zhang, L. A., Baker, O., Zhang, F., Burnett, A., Kofner, A., Breslau, J., Stein, B. D., Mehrotra, A., & Yu, H., 2024. Evaluating Alignment between Large Language Models and Expert Clinicians in Suicide Risk Assessment. Psychiatr Serv, 76(11), 944–950. doi:10.1176/appi.ps.20250086.

  Peer-reviewed study (original research)