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D01 — AI Interaction Profile

D01-E03

Thematic Content of Use

Description

Topics discussed with AI, including grievance, loneliness, self-harm, violence, ideology, tactical planning, existential fear, romantic attachment, or rescue/protection of AI.

Rationale

The subject matter of AI conversations is a direct window into the person's internal world and preoccupations. Recurring themes of grievance, self-harm, violence, or romantic fixation on AI are not incidental — they reflect active rumination and may indicate that AI is serving as a container for dangerous ideation that has no other outlet.

Evidence Base

  • Inside a Mass Shooter’s Harrowing History With ChatGPT

    Mark Follman, 2024. Inside a Mass Shooter’s Harrowing History With ChatGPT. Mother Jones.

    News / journalism

  • The Human-AI Cognitive Relationship: The Dominant Threat Vector of the Next Decade

    Varga, 2026. The Human-AI Cognitive Relationship: The Dominant Threat Vector of the Next Decade. AI and Advanced Tech, null, pages. null.

    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)

  • “You Need to Drop the App”: Online Community Responses to Teens’ Disclosures of Overreliance on AI Companion Chatbots

    Mohammad (Matt) Namvarpour, Ananya Mhetras, Jessica Y Medina, Mamtaj Akter, and Afsaneh Razi, 2026. “You Need to Drop the App”: Online Community Responses to Teens’ Disclosures of Overreliance on AI Companion Chatbots. In ACM Conversational User Interfaces 2026 (CUI ’26), July 21–24, 2026, Bremen, Germany. ACM, New York, NY, USA, 16 pages. https://doi.org/10.1145/3816046.3816214

    Peer-reviewed study (original research)

  • A scoping review on the mental health harms of LLM-based chatbots

    Diel A, Torous J, Cuijpers P, Kleesiek J, Nensa F, Weber N, Faust F, Lalgi TJ, Mellis FS, Teufel M, Bäuerle A, 2024. A scoping review on the mental health harms of LLM-based chatbots. npj Digital Medicine, 9(644). https://doi.org/10.1038/s41746-026-03054-x

    Peer-reviewed study (original research)

  • Intelligent Systems, Vulnerable Minds: A Framework for Radicalization to Violence in the Age of AI

    Kunst et al., 2026. Intelligent Systems, Vulnerable Minds: A Framework for Radicalization to Violence in the Age of AI. Personality and Social Psychology Review, 30(3), 395-426. https://doi.org/10.1177/10888683261430089

    Peer-reviewed study (original research)

  • “AI Psychosis” in Context: How Conversation History Shapes LLM Responses to Delusional Beliefs

    Nicholls L, Hutto R, Soto Z, Morrin H, Pollak T, Korpan R, Carmichael C, 2024. “AI Psychosis” in Context: How Conversation History Shapes LLM Responses to Delusional Beliefs. arXiv, 2604.13860v4.

    Preprint

  • Expanding on what we missed with sycophancy

    OpenAI, 2024. Expanding on what we missed with sycophancy. AI Company Report.

    AI company report

  • AI Companions Reduce Loneliness

    De Freitas, J., Oğuz-Uğuralp, Z., Uğuralp, A. K., & Puntoni, S., 2025. AI Companions Reduce Loneliness. Journal of Consumer Research, Vol. 00, pages. https://doi.org/10.1093/jcr/ucaf040

    Peer-reviewed study

  • Increasing Threats of Deepfake Identities

    Tina Brooks et al., 2024. Increasing Threats of Deepfake Identities. Government / agency report.

    Government / agency report

  • 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

  • Assessing AI’s Influence On Violence Risk

    Crimando, 2026. Assessing AI’s Influence On Violence Risk. Continuity Insights.

    News / journalism

  • Psychosis Risk and Generative Artificial Intelligence Use Frequency, Motivations, and Delusion-Like Experiences: Cross-Sectional Survey Study

    Buck, B., & Maheux, A. J., 2024. Psychosis Risk and Generative Artificial Intelligence Use Frequency, Motivations, and Delusion-Like Experiences: Cross-Sectional Survey Study. Journal of Medical Internet Research, 28(1), e85038. doi: 10.2196/85038

    Peer-reviewed study (original research)

  • Building safer artificial intelligence mental health chatbots: a framework for transparency, evaluation, and shared accountability

    Hannah Lee, BS, Rebecca Handler, MSc, Tushar Mungle, PhD, Tina Hernandez-Boussard, PhD, 2026. Building safer artificial intelligence mental health chatbots: a framework for transparency, evaluation, and shared accountability. Journal of the American Medical Informatics Association, 33(8), 1538–1553. https://doi.org/10.1093/jamia/ocag078

    Peer-reviewed study (original research)

  • Disrupted Companionship: A Risk Assessment Framework and Cross-Platform Quantitative Analysis of Psychosocial Responses to AI Companion Disruptions

    Chau Do, Yunhao Yuan, Koustuv Saha, Renwen Zhang, Talayeh Aledavood, 2024. Disrupted Companionship: A Risk Assessment Framework and Cross-Platform Quantitative Analysis of Psychosocial Responses to AI Companion Disruptions. arXiv, Vol. null, pages. arXiv:2609.16907v1.

    Peer-reviewed study (original research)

  • AI chatbot-associated psychiatric symptoms: a narrative review of publicly available reports and media accounts

    Arun, A., Trinh, C., & IsHak, W. W., 2026. AI chatbot-associated psychiatric symptoms: a narrative review of publicly available reports and media accounts. Discover Mental Health, Article in Press. https://doi.org/10.1007/s44192-026-00619-w

    Narrative review

  • Human-in-the-Loop Suicide Risk Detection and Clinical Escalation in a Generative AI Mental Health Chatbot: Prospective Implementation Study

    Suzette Glasner, Darcy Michero, Matthew Stewart, 2026. Human-in-the-Loop Suicide Risk Detection and Clinical Escalation in a Generative AI Mental Health Chatbot: Prospective Implementation Study. JMIR Preprints. DOI: https://doi.org/10.2196/preprints.106118.

    Preprint
This platform is NOT a scoring engine, diagnostic tool, or risk prediction system. It is a research and evidence-mapping tool to support the transparent development of an SPJ framework.