mlsanityData to 14 Oct 2026

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

arXiv 2512.23859 ↗First posted 29 Dec 2025cs.HC cs.AI cs.CYcited by 2

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Abstract (arXiv)

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 lived experiences, 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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 12 of its 109 references that are in the map. First posted on arXiv 29 Dec 2025.

Builds on

12 of 109 references.

References · 12

  1. 2025Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providerscited by 69
  2. 2023Benefits and Harms of Large Language Models in Digital Mental Healthcited by 40
  3. 2024Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementationcited by 27
  4. 2024From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agentscited by 25
  5. 2024LLM-based Conversational AI Therapist for Daily Functioning Screening and Psychotherapeutic Intervention via Everyday Smart Devicescited by 21
  6. 2024Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Interventioncited by 15
  7. 2025Dehumanizing Machines: Mitigating Anthropomorphic Behaviors in Text Generation Systemscited by 11
  8. 2023Deep Learning Mental Health Dialogue Systemcited by 9
  9. 2024Response Generation for Cognitive Behavioral Therapy with Large Language Models: Comparative Study with Socratic Questioningcited by 8
  10. 2024Advancing a Consent-Forward Paradigm for Digital Mental Health Datacited by 3
  11. 2025Moving Towards Epistemic Autonomy: A Paradigm Shift for Centering Participant Knowledgecited by 2
  12. 2025When Testing AI Tests Us: Safeguarding Mental Health on the Digital Frontlinescited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.