Description: In January 2025, James Florence Jr. of Plymouth, MA, agreed to plead guilty to cyberstalking charges involving the alleged use of AI tools like CrushOn.ai and JanitorAI. The U.S. Attorney’s Office reports the harassment spanned 2014–2024, though AI-driven tactics reportedly began around 2017. Florence allegedly created deepfake pornographic images, programmed AI chatbots to impersonate victims, distributed doctored content, exposed personal information, and encouraged online harassment.
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The OECD AI Incidents and Hazards Monitor (AIM) automatically collects and classifies AI-related incidents and hazards in real time from reputable news sources worldwide.
Entities
View all entitiesAlleged: JanitorAI , CrushOn.AI , Synthetic media generation technology developers , Deepfake technology developers , Synthetic image generation technology developers and Chatbot developers developed an AI system deployed by James Florence Jr. , Synthetic media creators and Deepfake creators, which harmed Six other women and a 17-year-old girl targeted by James Florence Jr. , Families of victims targeted by James Florence Jr. , Anonymous university professor targeted by James Florence Jr. , Women and girls , Women , Privacy , Epistemic integrity , Victims of deepfake abuse and Victims of non-consensual deepfakes.
Alleged implicated AI systems: JanitorAI , CrushOn.AI , X (Twitter) , Reddit , Linktree , ladies.exposed , Craigslist and Chatbots
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.3. Fraud, scams, and targeted manipulation
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Malicious Actors & Misuse
Entity
Which, if any, entity is presented as the main cause of the risk
Human
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Intentional
Incident Reports
Reports Timeline
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Defendant allegedly posted digitally altered images of victim to social media accounts and programmed artificial intelligence-driven chatbots to mimic human conversation with other unknown users of social media platforms
BOSTON -- A Plymout…
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A man from Massachusetts has agreed to plead guilty to a seven-year cyberstalking campaign that included using artificial intelligence (AI) chatbots to impersonate a university professor and invite men online to her home address for sex.
Ja…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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