Seeking Late Night Life Lines: Experiences of Conversational AI Use in Mental Health Crisis

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Authors: Leah Ajmani, Arka Ghosh, Benjamin T. Kaveladze, Eugenia Kim, Keertana Namuduri, Theresa Nguyen, Ebele Okoli, Jessica Lee Schleider, Denae Ford, Jina Suh
Cited by: 1
References: 52

Abstract

Online, people often recount their experiences turning to conversational AI agents (e.g., ChatGPT, Claude, Copilot) for mental health support — going so far as to replace their therapists. These anecdotes suggest that AI agents have great potential to offer accessible mental health support. However, it's unclear how to meet this potential in extreme mental health crisis use cases. In this work, we explore the first-person experience of turning to a conversational AI agent in a mental health crisis. From a testimonial survey (n = 53) of firsthand accounts, we find that people use AI agents to fill the in-between spaces of human support; they turn to AI due to lack of access to mental health professionals or fears of burdening others. At the same time, our interviews with mental health experts (n = 16) suggest that human-human connection is an essential positive action when managing a mental health crisis. Using the stages of change model, our results suggest that a responsible AI crisis intervention is one that increases the user's preparedness to take a positive action while de-escalating any intended negative action. We discuss the implications of designing conversational AI agents as bridges towards human-human connection rather than ends in themselves.

Fields of Study & Subjects

Digital Mental Health Interventions Mental Health via Writing AI in Service Interactions

Publication details

Journal / source
Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency
Publisher
ACM
Pages
1263–1290
Publication date
23 June 2026