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Stay Safe from AI Scams: Tips and Tricks from TechCrunch

Source: TechCrunch


Summary: In TechCrunch's latest segment, Anthony Ha delves into the increasingly sophisticated world of AI-driven scams, highlighting the potential risks and offering practical advice on how to protect yourself. AI technology, while offering numerous benefits, also poses significant threats by making online scams more personalized and convincing.


A metaphoric representation of AI
Source: Unsplash

Key Insights: AI advancements have led to new and more sophisticated scam techniques, including voice cloning, personalized phishing emails, and realistic deepfakes. These technologies can make it challenging to distinguish between genuine and fraudulent communications. Understanding these threats and adopting preventive measures can help protect against AI scams.


Analysis: Voice cloning allows scammers to create voicemails that sound like they are from someone you know, such as a friend or family member. These messages often request money for emergencies through platforms like Venmo. To avoid falling victim, it's crucial not to rely solely on voice recognition. Always check for unfamiliar email addresses or phone numbers and contact the person directly to confirm any requests.


Phishing emails have become more personalized and harder to detect due to AI. These emails may appear to come from legitimate sources, but they often contain subtle clues, such as grammatical errors or slightly altered email addresses. It's important to verify the sender's details and be cautious about sharing sensitive information via email. Remember, legitimate organizations typically do not ask for sensitive information through email.


Deepfakes are another significant threat, as AI can create highly realistic videos or images that are difficult to distinguish from genuine ones. This can lead to the spread of misinformation and potential exploitation. To protect yourself, be cautious when sharing personal content online and verify the authenticity of information from multiple sources before acting on it.


  1. Verify Requests for Money:

  • If you receive a voicemail or message requesting money, especially if it's urgent, do not rely on the voice alone. Verify the request by contacting the person directly using a known phone number or email address.

  • Example: If you get a message from a friend asking for emergency funds, call them directly to confirm before taking any action.

  1. Be Cautious with Emails:

  • Always scrutinize emails requesting sensitive information. Check the sender's email address carefully, and look for any signs of phishing, such as grammatical errors or unusual requests.

  • Example: If you receive an email from your bank asking for account details, contact the bank directly through their official website or customer service number to verify the request.

  1. Stay Informed About Deepfakes:

  • Be aware of the potential for deepfake videos or images. Verify the authenticity of any surprising or concerning content by checking multiple credible sources.

  • Example: If you see a video online that seems out of character for a public figure or friend, look for news reports or statements from credible sources before believing or sharing it.

  1. Educate Your Network:

  • Share information about AI scams with your colleagues, friends, and family to help them stay vigilant and protect themselves.

  • Example: Send a group email or message summarizing the key points about AI scams and how to avoid them, encouraging others to be cautious and verify suspicious communications.

Conclusion: AI-driven scams are becoming more sophisticated, making it essential to stay vigilant and adopt preventive measures. By understanding the threats posed by voice cloning, personalized phishing emails, and deepfakes, solopreneurs can protect themselves and their networks. Verifying requests, scrutinizing emails, staying informed about deepfakes, and educating others are crucial steps in safeguarding against these advanced scams.



This article aggregates and comments on content originally published by TechCrunch. All rights and credits belong to the original author and publisher.

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