Description: A June 2025 Swedish police warning reported that fraudsters used purportedly AI-generated deepfake videos of well-known doctors, including Anders Tegnell and Agnes Wold, in social media ads promoting fake health products. Victims were allegedly lured to fraudulent sites where card details were stolen and large unauthorized charges were made. The scams, which reportedly began in late May 2025, prompted multiple complaints from both impersonated physicians and defrauded consumers.
Editor Notes: Timeline notes: The alleged scams began circulating sometime in late May 2025 with the Swedish police issuing a warning on 06/09/2025, which is the date taken for this incident ID. The ID was added to the AI Incident Database on 10/21/2025.
Entities
View all entitiesAlleged: Deepfake technology developers and Synthetic audio generation technology developers developed an AI system deployed by Unknown scammers impersonating Anders Tegnell , Unknown scammers impersonating Agnes Wold and Scammers, which harmed General public of Sweden , General public , Consumers misled by fraudulent ads , Anders Tegnell and Agnes Wold.
Alleged implicated AI systems: Social media , Facebook , Meta , Deepfake technology and Synthetic audio generation technology
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
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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unreviewed
Incident Date:
2025-06-09
unreviewed
Incident Date:
2025-06-19
