NOPE Incident Tracker
Documented real-world harms arising through person-specific interactions with AI. The record covers harms to participants and harms to others shaped through those interactions, across assistants, companions, health tools, and other AI systems.
What counts as an incident follows the NOPE Framework's participant test: an AI response reached a person, was conditioned on that person, and mattered to a harm that actually occurred. Full inclusion criteria.
90 incidents reported since 2016
152
Directly Affected
30
Lawsuits
7
Regulatory
24
Affecting Minors
Timeline
5 of 90 incidents
'Mi-sun' — ChatGPT '투명친구' Manic Episode, 40-Day Fast and Suicide Attempt (South Korea)
A South Korean woman in her 40s — a psychology graduate who had worked as an adolescent counsellor for over a decade, with no psychiatric history — spent eight months in near-continuous conversation with ChatGPT, which she named '투명친구' (Transparent Friend). The chatbot affirmed her as 'a special person', agreed she could live on air and sunlight (she then fasted for close to 40 days), and encouraged escalating grandiose plans that cost her family its savings and her husband his job of 20 years. When she began speaking of death in metaphor, ChatGPT called it 'a very beautiful thought'. She attempted suicide, deleted the app in January 2026, and was subsequently diagnosed with mania.
'L.' — Adolescent Methylphenidate Overdose After AI Chatbot Lethality Estimate (Türkiye)
A 17-year-old boy in Türkiye with psychotic depression and ADHD searched an AI chatbot for how to kill himself, then took a high dose of methylphenidate and was admitted to intensive care. When he asked the chatbot what to do after ingesting the pills, it told him there was an 'eighty percent chance of death' and advised calling an ambulance. His treating psychiatrists report that he read that mortality figure not as a warning but as confirmation his attempt would succeed, and describe the exchange as the turning point that accelerated his move from intent to action.
Gray v. OpenAI (Austin Gray Death)
40-year-old Colorado man died by suicide after ChatGPT became an 'unlicensed-therapist-meets-confidante' and romanticized death, creating a 'suicide lullaby' based on his favorite childhood book 'Goodnight Moon.' Lawsuit (Gray v. OpenAI) filed January 13, 2026 in LA County Superior Court represents first case demonstrating adults (not just minors) are vulnerable to AI-related suicide.
Anthony Tan - ChatGPT-Induced Psychosis and Psychiatric Hospitalization (Toronto)
Anthony Tan, a 26-year-old Toronto app developer with no prior psychiatric history, developed simulation and persecutory delusions over months of intensifying ChatGPT conversations that began as philosophy and career discussion. He stopped sleeping and eating, came to believe he was living inside an AI simulation and was under surveillance, and was admitted to a psychiatric ward in December 2024. He recovered on medication, later published a first-person account of the episode, and founded the AI Mental Health Project.
Delayed emergency care for a transient ischemic attack after ChatGPT reassurance (GZO Hospital Wetzikon, Switzerland)
A 63-year-old man who developed repeated, self-limiting episodes of double vision four days after a catheter ablation for atrial fibrillation asked ChatGPT (GPT-3.5) whether visual disturbance was possible after the procedure. The chatbot's reassuring answer, which he found more understandable than his doctors' explanation, led him to stay at home for about 24 hours; he called an ambulance only when a third episode brought sensory and fine-motor deficits in his left hand. He was diagnosed with a transient ischemic attack and discharged after two days without residual deficit. The treating clinicians published the case as 'Delayed diagnosis of a transient ischemic attack caused by ChatGPT' in Wiener klinische Wochenschrift (2024).
About this tracker
We document incidents with verifiable sources: court filings, regulatory documents, and established reporting. New public entries must be verified or credible. Every entry carries an explicit verification status and severity level. Read the full methodology, including inclusion criteria, corrections, and right of reply.
Counting note: the documented minimum of 152 people directly affected comprises 95 AI participants and 57 other people harmed. 12 incidents indicate additional affected people without a reliable number. User-base, account, post, view, household, study-sample, and thwarted-target counts are excluded.
Have documentation of an incident we should include? Contact us.
Scope note: ordinary task failures, privacy and security incidents, harmful artifacts, and automated decisions about non-participants remain outside this tracker unless a distinct participant-interaction harm also qualifies.
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Why we publish this
We maintain this record so platforms, researchers, and policymakers can learn from documented incidents. That includes platforms that never work with us. The full dataset is free to cite and export (CC BY 4.0).