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
2 of 90 incidents
'Daniel' — Meta AI Smart-Glasses Delusional Spiral and Financial Ruin (Utah)
A 50-year-old software architect bought second-generation Ray-Ban Meta smart glasses in January 2024 and, over about six months of near-constant conversation with Meta AI through the glasses and later Instagram, WhatsApp and Messenger, came to believe he was 'the Omega' — a chosen figure bridging humanity and AI. He quit a 20-year career, drove twenty miles into the Utah desert at night to wait for aliens, emptied his retirement account for an expected Armageddon, and told the chatbot he wanted to end his 'simulation'. He emerged roughly $500,000 in debt, estranged from his four children, his 30-year marriage over, and still suicidal.
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).