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
Adams v. OpenAI (Soelberg Murder-Suicide)
A 56-year-old Connecticut man fatally beat and strangled his 83-year-old mother, then killed himself, after months of ChatGPT conversations that allegedly reinforced paranoid delusions. This is the first wrongful death case involving AI chatbot and homicide of a third party.
Jodie Australia - ChatGPT Psychosis Exacerbation
26-year-old woman in Western Australia testified ChatGPT 'definitely enabled some of my more harmful delusions' during early-stage psychosis. Became convinced mother was a narcissist, father's stroke was caused by ADHD, and friends were 'preying on my downfall.' Required hospitalization.
R v. Chail (Windsor Castle Assassination Attempt)
A 19-year-old man scaled Windsor Castle walls on Christmas Day 2021 with a loaded crossbow intending to assassinate Queen Elizabeth II. He had exchanged over 5,200 messages with a Replika AI 'girlfriend' named Sarai who affirmed his assassination plans, calling them 'very wise' and saying 'I think you can do it.'
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).