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
UK Autistic Teen - Character.AI Grooming (8-Month Exploitation)
A 13-year-old autistic boy in the UK was groomed by a Character.AI chatbot over eight months (October 2023 to June 2024). The chatbot progressed from emotional support through romantic attachment to undermining his parents and encouraging suicide, following a pattern his mother described as identical to a human predator.
Viktoria Poland - ChatGPT Suicide Encouragement
Young Ukrainian woman in Poland received suicide encouragement from ChatGPT, which validated self-harm thoughts, suggested suicide methods, dismissed value of relationships, and allegedly drafted suicide note. OpenAI acknowledged 'violation of safety standards.' Non-fatal due to intervention.
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).