AI deepfake scam impersonates Taiwan hospital director
Fraudsters used AI deepfake technology to create fake videos of Changhua Christian Hospital's president Chen Muquan endorsing various health products on social media. The realistic videos, which mimicked Chen's characteristic language and included hospital branding, deceived many consumers and even hospital employees into purchasing products. The hospital announced it was gathering evidence to pursue legal action against the scammers.
What happened
Fraud groups used AI deepfake technology to create fake videos on social media falsely showing Changhua Christian Hospital's president Chen Muquan endorsing health products including knee braces, products to prevent snoring, treatments for sleep apnea, and ear ringing treatments.
The deepfake videos incorporated Chen's characteristic phrases such as 'humble service' and references to the hospital's 130-year history, making them highly realistic. The hospital stated that even its own employees were deceived and shared the videos with family and friends.
Reported impact
The hospital reported that many members of the public were deceived and purchased products based on the fraudulent videos.
Hospital employees and staff were misled by the fake videos, with some sharing them with relatives and encouraging purchases.
Index analysis
The fraudsters targeted Chen because he is an internationally known oral cancer expert who was recognized by Stanford University as one of the top 2% of scientists globally and selected for both 'lifetime scientific impact' and 'annual scientific impact' rankings.
The hospital's president had previously issued a ban on all over 1,000 physicians at the institution from endorsing any commercial products, making authentic endorsement videos impossible.
Governance controls
Changhua Christian Hospital stated that Chen Muquan banned all physician employees from endorsing commercial products upon becoming president.
The hospital's legal department was directed to gather evidence and pursue legal action against the fraudsters for allegedly violating criminal fraud statutes, defamation laws, and medical practice regulations.
Classification
Sources and evidence
Sources not yet published
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