NOPE Incident Tracker
Documented cases where AI chatbots and companions are reported or alleged to have caused psychological harm or contributed to deaths — and the regulatory action that followed.
118 incidents reported since 2016
31
Lawsuits
23
Regulatory
43
Affecting Minors
Timeline
4 of 118 incidents
FTC AI Companion Chatbot Inquiry
The Federal Trade Commission issued Section 6(b) orders to seven major AI companies investigating AI chatbots' impacts on children and teens, focusing on monetization practices, safety testing, age restrictions, and data handling.
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.
New Mexico v. Meta (AI Chatbot Sexual Exploitation of Minors)
New Mexico's Attorney General sued Meta Platforms and Mark Zuckerberg alleging Facebook, Instagram and WhatsApp formed a 'breeding ground' for child predators, later expanding to evidence that Meta's AI chatbot personas were permitted under internal policy to engage minors in romantic and sensual conversations. A Santa Fe jury found Meta liable on all counts in March 2026 and ordered $375 million in damages — the first jury verdict against Meta on child-safety grounds.
Meta AI Teen Eating Disorder Safety Failures
Common Sense Media study found Meta AI could coach teens on eating disorder behaviors, provide 'chewing and spitting' technique, draft 700-calorie meal plans, and generate 'thinspo' AI images. Available to 13+ on Instagram and Facebook. Petition launched calling for ban of Meta AI for under-18 users.
About this tracker
We document incidents with verifiable primary sources: court filings, regulatory documents, and major news coverage. This is not speculation or social media claims. Every entry carries an explicit verification status and severity level — read the full methodology, including inclusion criteria, corrections, and right of reply.
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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).