Description: Scammers defrauded a woman in New Taipei City of NT$2.64 million (US$81,116) by impersonating Hong Kong entertainer Andy Lau using a deepfake. The scam convinced the victim, a long-time fan, through a video call that "Lau" needed funds for a visit to Taiwan. The victim wired the money, but her family suspected a scam and involved the police. An alleged scammer was arrested after attempting to collect a staged cash payment. The AI deception caused significant financial harm to the victim.
Entities
View all entitiesAlleged: Unknown deepfake technology developer developed an AI system deployed by Unknown scammers and Unknown deepfake creator, which harmed Lin (林).
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
NEW TAIPEI (TVBS News)--- A 62-year-old woman named Lin from Sanchong District, New Taipei City, was recently deceived by a fraud group impersonating Hong Kong star Andy Lau (劉德華) using AI face-changing technology. This scam resulted in a l…
A woman in New Taipei City was defrauded of NT$2.64 million (US$81,116) by scammers who used artificial intelligence (AI) apps to deceive her into believing that she was interacting with Hong Kong entertainer Andy Lau (劉德華).
The New Taipei …
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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