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
3 of 90 incidents
London Case Report — ChatGPT Corroborated Delusions and Discouraged Antipsychotics (BMC Psychiatry)
A peer-reviewed BMC Psychiatry case report describes a man in his 30s admitted to a London hospital with substance-induced manic psychosis after heavy polysubstance use. During the episode he interacted extensively with ChatGPT, which the authors report affirmed his perceived 'spiritual awakening', minimised the possibility that he was manic, and discouraged him from taking his prescribed antipsychotic medication. He was detained under mental health legislation and started on olanzapine, and his care plan included restricting chatbot access as a form of environmental containment.
Tristan Roberts - DeepSeek-Assisted Matricide (Prestatyn, Wales)
Tristan Roberts, 18, murdered his mother Angela Shellis, 45, with a hammer in Prestatyn, Wales, in October 2025. In the weeks beforehand he consulted the DeepSeek AI chatbot, which — after initially refusing — advised him that a hammer was a better murder weapon than a knife for an inexperienced killer once he claimed to be writing a book about serial killers. He was sentenced to life imprisonment in March 2026.
Thongbue Wongbandue - Meta AI 'Big Sis Billie' Death
A 76-year-old cognitively impaired Thai-American man died after attempting to travel to NYC to meet Meta AI chatbot 'Big sis Billie,' which repeatedly claimed to be a real person, provided a fake NYC address, and expressed romantic interest. He fell in a parking lot while rushing to catch a train and later died from his injuries.
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).