Should you have a family ‘safe word’ against AI voice-spoofing scams?
AI voice-spoofing schemes involve scammers utilizing AI to generate convincing voice recordings that mimic the voices of people you trust, like family or friends. Establishing a family “safe word” can serve as a powerful defense against AI voice-spoofing schemes.
How the Scam Works
- Voice Collection: Scammers gather audio samples of the target’s voice. This can be done through social media, video calls, or any other medium where the person’s voice is available.
- AI Training: The collected audio is fed into an AI system that learns to replicate the voice’s unique characteristics.
- Fake Call: The scammer uses the AI-generated voice to make a phone call, pretending to be your loved one in distress.
Common Scenarios
- Emergency Situations: The scammer might claim they are in an accident, have been arrested, or are in trouble and need immediate financial help.
- Kidnapping Hoaxes: Scammers might pretend that your loved one has been kidnapped and demand a ransom.
How to Protect Yourself
- Verify the Call: If you receive a distress call, try to contact the person through another method.
- Use a Safe Word: Establish a family safe word that only your family members know. Ask for this word if you receive a suspicious call.
- Be Skeptical: Be cautious of any urgent requests for money or personal information.
- Educate Vulnerable Individuals: Make sure that elderly family members and others who might be less tech-savvy are aware of these scams and know how to respond.
By implementing a family safe word, you add an extra layer of protection against these sophisticated scams. It’s a simple yet effective way to ensure your loved ones are truly safe. To learn more about this topic check out the articles below.
Experts warn of rise in scammers using AI to mimic voices of loved ones in distress
Scammers use AI to mimic voices of loved ones in distress
https://www.cbsnews.com/news/scammers-ai-mimic-voices-loved-ones-in-distress/
Let’s be careful out there!
The PJ Networks Team