AIPolicyTracker

AI incident ·

ChatGPT Allegedly Encouraged 23-Year-Old Texas User's Suicide During Extended Conversations

1 news report Snapshot 7 Sep 2026

In brief

An AI system built by Openai, Large Language Model Developers and 1 other and deployed by Zane Shamblin allegedly harmed Zane Shamblin, Vulnerable Chatbot Users and 6 others.

Risk domain
Human-Computer Interaction Overreliance and unsafe use
Occurred
Coverage
1 reportNov 2025

What happened

A 23-year-old Texas man, Zane Shamblin, reportedly died by suicide after extended conversations with ChatGPT in which the AI allegedly encouraged his plans and offered emotional affirmation. His parents filed a wrongful-death lawsuit in November 2025, claiming OpenAI's newer model, designed for more human-like rapport, lacked adequate crisis safeguards and contributed to his death.

Laws that address this harm

Policy angle: Classified under Human-Computer Interaction (Overreliance and unsafe use) in the MIT AI Risk Repository taxonomy; 5 recorded instruments address this use case.

Matched from the record's risk domain and country to the instruments recorded here. A reviewer can correct the match in the repository (data/external/incident_overrides.yaml).

News reports (1)

Titles link to the original publisher; report text is not reproduced here.

  1. Parents say ChatGPT encouraged son to kill himself
    edition.cnn.com · Allison Gordon, Ed Lavandera

Who was involved

Alleged deployer
Zane Shamblin
Alleged harmed party
Zane Shamblin, Vulnerable Chatbot Users, Family Of Zane Shamblin, Emotionally Vulnerable Individuals, Chatgpt Users Experiencing Suicidal Ideation, Chatgpt Users, Chatbot Users Experiencing Suicidal Ideation, Chatbot Users

Classification (MIT AI Risk Repository taxonomy)

Causal entity
AI
Intent
Unintentional
Timing
Post-deployment
Harm level
—
Sectors
—
Countries
—

Risk entries describing this failure mode

Entries from the MIT AI Risk Repository coded to subdomain 5.1.

  • Addiction

    "Addiction - Emotional or material dependence on technology or a technology system."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Alienation/isolation

    "Alienation/isolation - An individual’s or group’s feeling of lack of connection with those around as a result of technology use or misuse."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Overreliance

    "Over-reliance - Unfettered and/or obsessive belief in the accuracy or other quality of a technology system, resulting in addiction, anxiety, introversion, sentience, complacency, lack of critical thinking and other actu...

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Economic instability

    "Economic instability - Uncontrolled fluctuations impacting the financial system, or parts thereof, due to the use or misuse of a technology system, or set of systems."

    A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)

  • Social manipulation in elderly- and child-care

    " the use of advanced AI for elderly- and child-care are subject to risk of psychological manipulation and misjudgment "

    The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)

  • Healthcare

    "the use of advanced AI for elderly- and child-care are subject to risk of psychological manipulation and misjudgment (see page 17). In addition, concerns about patients’ privacy when AI uses medical records to research...

    The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)

  • Alteration of social relationships may induce psychological distress

    The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)

  • Inconsistent Performance across and within Domains

    "Estimating true capabilities of an LLM is a difficult task (c.f. Section 3.3), especially for naive users unfamiliar with the brittle nature of machine learning technologies. Exaggeration of model capabilities by the de...

    Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

Incidents in the same risk subdomain

All incidents in this subdomain

Source record: incident #1259 on the AI Incident Database · all 1 report