Scammers are increasingly using artificial intelligence to impersonate loved ones and perpetrate financial fraud. According to officials from the Better Business Bureau (BBB), AI-generated voice cloning is making it harder for victims to discern genuine calls from fraudulent ones. Julie Wheeler, CEO of the BBB serving western Virginia, noted a rise in incidents where scammers utilize deepfakes to mimic the voices of friends and family.
Recent cases highlight the potential financial devastation these scams can cause. For instance, California resident Deborah Del Mastro lost $5,400 after receiving a call from someone claiming her daughter had been kidnapped. The voice on the line sounded exactly like her daughter, leading Del Mastro to comply with demands for money sent via wire transfer. It wasn’t until she contacted her daughter, who was safe at work, that she realized she had been deceived.
A similar situation unfolded for an Orlando woman who was tricked into sending thousands of dollars to pay for her friend’s supposed bail after receiving a call that sounded like her friend’s voice. Experts like Ron Kerbs, CEO of AI fraud detection company Kidas, explain that scammers can easily obtain recordings from social media to create convincing voices. They also utilize AI to gather personal information about their targets more efficiently, making their approaches even more believable.
To protect against these increasingly sophisticated scams, experts advise verifying the identity of callers before taking any action. Establishing a secret code among family members can serve as a safeguard during emergencies. Additionally, skepticism is warranted if callers demand immediate payments in cryptocurrency or other untraceable forms.
Why this story matters
- Increasing sophistication of scams poses risks for individuals.
Key takeaway
- AI-generated voice cloning is making it difficult to identify fraudulent calls.
Opposing viewpoint
- Some argue that traditional scams may still pose just as significant a threat without AI technology.
