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
First Federal TAKE IT DOWN Act Deepfake Pornography Prosecutions (Shannon & Hernandez)
Federal prosecutors in Brooklyn arrested Cornelius Shannon, 51, and Arturo Hernandez, 20, in May 2026 for using AI tools to generate and distribute non-consensual deepfake pornography depicting approximately 140 identifiable female victims — including celebrities, political figures, and non-public individuals described as recent high school graduates. The case is among the first major federal prosecutions under the TAKE IT DOWN Act.
Indore Engineer AI-NCII Revenge Campaign After Rejected Proposal (India)
A civil engineer in Indore, Madhya Pradesh was arrested in January 2026 for a roughly seven-month campaign in which he used AI tools to create obscene morphed images of a woman and her sister and mailed them to relatives and neighbours, in revenge after the woman's family rejected his marriage proposal. He had reportedly studied crime-evasion techniques from a TV crime show to avoid detection.
Doe v. ClothOff (NJ Federal Lawsuit Over AI-Generated CSAM of Minor)
A New Jersey minor (Jane Doe) filed a federal lawsuit against ClothOff, the AI 'undressing' app operated from Belarus, after her photos were used to generate non-consensual sexual deepfake images. First U.S. federal lawsuit specifically targeting the ClothOff platform; brought by Yale Law School clinics seeking to shut down the service entirely.
Roberts AI Deepfake Stalking - New Hampshire
Stalked victim for over a year using AI tools to create deepfake videos depicting victim in sexual acts that never occurred. Charged and held without bail in Conway, New Hampshire, late 2024/early 2025.
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).