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.
Entities
View all entitiesAlleged: CrushOn.AI and JanitorAI developed an AI system deployed by James Florence Jr., which harmed Anonymous university professor targeted by James Florence Jr. , Families of victims targeted by James Florence Jr. and Six other women and a 17-year-old girl targeted by James Florence Jr..
Alleged implicated AI systems: CrushOn.AI , JanitorAI , Craigslist , X (Twitter) , ladies.exposed , Reddit and Linktree
Incident Stats
Incident ID
916
Report Count
2
Incident Date
2025-01-23
Editors
Daniel Atherton
Incident Reports
Reports Timeline
justice.gov · 2025
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- View the report at the Internet Archive
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…

theguardian.com · 2025
- View the original report at its source
- View the report at the Internet Archive
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 incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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