Description: An aspiring artist in Austin, Texas, Cherelle Kozak, was targeted by a scammer using AI-generated video and voice to impersonate rapper Fat Joe. The impersonator appeared on a call, encouraged her to upload music for supposed radio play, and then demanded payment. Kozak did not comply. The scam closely resembled one that Fat Joe publicly warned about on January 5, 2025.
Editor Notes: Timeline notes: On January 5th, 2025, Fat Joe posted a warning on social media alerting fans about AI-powered scams impersonating him. The report about the attempt targeting Cherelle Kozak was published on April 18th, 2025.
Entities
View all entitiesAlleged: Unknown deepfake technology developers and Unknown voice cloning technology developers developed an AI system deployed by Unknown scammers impersonating Fat Joe, which harmed Cherelle Kozak , Fat Joe , Fans of Fat Joe and General public.
Alleged implicated AI systems: Unknown voice cloning technology , FaceTime and Unknown deepfake technology
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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AUSTIN, Texas — In a world where connections are just a video call away, it’s easy to trust the face on your screen. Whether dating, networking, or just catching up, FaceTime and social media video calls help bridge the distance-- but what …
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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