Accessibility settings

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

Clinical Mental Health Informatics (143) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3273) Machine Learning (3256) Formative Evaluation of Digital Health Interventions (5241) Chatbots and Conversational Agents (1200) Artificial Intelligence (4884)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91367, first published .
Young woman with afro hair using smartphone in bed

Automated Safety Testing and Reporting Application for Conversational Safety Monitoring of Generative AI Tools for Mental Health: Development and Validation Study

Automated Safety Testing and Reporting Application for Conversational Safety Monitoring of Generative AI Tools for Mental Health: Development and Validation Study

Authors of this article:

Daniel Szoke1 Author Orcid Image ;   Ilana Hutzler1 Author Orcid Image ;   Jerry Liu1 Author Orcid Image ;   Samantha Addante1 Author Orcid Image ;   Zuhaib Akhtar1 Author Orcid Image ;   Dale L Smith1 Author Orcid Image ;   Kirsten Dickins1 Author Orcid Image ;   Charles Small1 Author Orcid Image ;   Sarah Pridgen1 Author Orcid Image ;   Philip Held1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Zhang Z, Lu X, Zhang Y, Zhang H, Zhang M. Privacy assurances and professional-boundary warnings in generative AI mental health chatbots: a randomized vignette experiment on calibrated trust, overreliance risk, and professional help-seeking intentions. Frontiers in Psychology 2026;17 View