AI Turbocharging $2,600,000,000 ‘Imposter Scams’ by Cloning Children’s Voices and Calling With Fake Emergencies: Report

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Artificial intelligence is now turbocharging a multibillion-dollar global criminal scheme known as the “imposter scam”.

The initial version of the scheme happens when scammers call or send text messages to unsuspecting people pretending to be someone they know who has a new phone number and a financial emergency.

But now, with the help of AI, scammers are cloning the actual voices of friends, family members and even children, according to a new McAfee cybersecurity artificial intelligence

Using three seconds of someone’s recorded voice, McAfee says AI can accurately replicate anyone’s voice and begin placing calls to unsuspecting victims.

McAfee cites the case of an Arizona mom who the New York Post that scammers cloned her teenage daughter’s voice using AI, demanding a $1 million ransom for her release.

McAfee recommends people set a codeword with kids, family members, or trusted close friends that only they know, and make a plan to always ask for it if they call, text, or email for help.

The latest numbers from the Federal Trade Commission impostor scams accounted for $2.6 billion in losses last year.

And the Commission has also outlined its own set of measures people can take if they believe a scammer may be on the line.

  • Resist the pressure to send money immediately. Hang up.
  • Then call or message the family member or friend who (supposedly) contacted you.
  • Call them at a phone number that you know is right, not the one someone just used to contact you. Check if they’re really in trouble.
  • Call someone else in your family or circle of friends, even if the caller said to keep it a secret. Do that especially if you can’t reach the friend or family member who’s supposed to be in trouble. A trusted person can help you figure out whether the story is true.

According to McAffee, 25% of adults surveyed globally have experience of an AI voice scam.

One in 10 say they have been targeted personally, and 15% say somebody they know has been targeted.

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