Description: Macau's Judiciary Police reported a deepfake video that depicts Chief Executive Sam Hou Fai endorsing an investment platform. The alleged manipulated footage, based on real event coverage, was reportedly used to promote fraudulent financial schemes via social media. While no victims had come forward as of reporting, authorities flagged the video as part of a pattern of AI-enabled scams and urged public vigilance.
Entities
View all entitiesAlleged: Unknown deepfake technology developers and Unknown voice cloning technology developers developed an AI system deployed by Unknown scammers and Unknown scammers impersonating Sam Hou Fai, which harmed Sam Hou Fai and General public of Macau.
Alleged implicated AI systems: Unknown deepfake technology and Unknown voice cloning 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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The Judiciary Police (PJ) has issued a public alert warning residents to remain vigilant against the use of deepfake videos that falsely impersonate the Chief Executive Sam Hou Fai in an apparent online investment scam.
According to a state…
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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