Accessibility settings

This paper is in the following e-collection/theme issue:

Applications of AI (1026) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3286) Depression and Mood Disorders; Suicide Prevention (2499) Chatbots and Conversational Agents (1203) Artificial Intelligence (4896) Generative Language Models Including ChatGPT (1577)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92817, first published .
Woman looking stressed at her phone on a bed

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

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

Authors of this article:

Kate H Bentley1, 2 Author Orcid Image ;   Luca Belli1, 3 Author Orcid Image ;   Adam M Chekroud1, 4 Author Orcid Image ;   Emily J Ward1 Author Orcid Image ;   Emily R Dworkin1 Author Orcid Image ;   Emily Van Ark1 Author Orcid Image ;   Kelly M Johnston1 Author Orcid Image ;   Will Alexander1 Author Orcid Image ;   Millard Brown1 Author Orcid Image ;   Matt Hawrilenko1 Author Orcid Image
Article Authors Cited by (1) Tweetations (5) Metrics

Journals

  1. Wu C, Lou N. Optimising AI-mediated wellness interventions’ design, engagement, and adaptation: Introducing the AI-DEA framework for mental health support and psychological change. Journal of Psychology and AI 2026;2(1) View