Scams and AI: Social Media Videos at Risk for Voice Cloning Exploitation

Wednesday, 18 September 2024, 04:00

Scams are rising, with social media videos potentially exploited by fraudsters to clone voices using AI technology. Research shows that 28% have been targeted by these scams. Scammers utilize just a few seconds of audio from videos to manipulate friends and family into sending money under false pretenses. This alarming trend highlights the intersection of technology and crime in consumer affairs.
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Scams and AI: Social Media Videos at Risk for Voice Cloning Exploitation

Understanding the Threat of AI-Driven Voice Cloning

Scams utilizing advanced technology pose significant risks to consumers. With a staggering 28% of people in the UK being targeted by scams in the past year, the role of artificial intelligence in these fraudulent activities cannot be underestimated. Scammers are adept at leveraging social media platforms, seeking out videos to capture audio clips that can convincingly mimic the target's voice.

The Mechanism Behind the Scams

  • Scammers identify social media videos.
  • They extract just a few seconds of audio.
  • The cloned voice is used to communicate fraudulently with targets' loved ones.

Impact on Banks and Building Societies

Banks and building societies face increasing pressure to enhance their security protocols as cybercrime evolves. The internet and technology developments are crucial battlegrounds against these scams. Financial institutions must innovate to safeguard their customers from these emerging threats.

Consumer Awareness and Safety Measures

Awareness is key in combating these AI-driven scams. Consumers should stay informed about new scams and take proactive steps to safeguard their personal information online. Regularly updating security settings on social media platforms and being cautious about sharing personal videos can help mitigate risks.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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