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Home / Business and Economy / AI Photo Scam: DoorDash Driver Fooled Customer

AI Photo Scam: DoorDash Driver Fooled Customer

5 Jan

•

Summary

  • A customer reported a DoorDash driver used an AI photo to fake a delivery.
  • The driver allegedly submitted an AI image of the order at the customer's door.
  • DoorDash investigated and permanently deactivated the driver's account.
AI Photo Scam: DoorDash Driver Fooled Customer

A recent incident has highlighted a sophisticated scam involving a DoorDash driver who allegedly used artificial intelligence to falsify delivery proof. A customer posted on social media detailing how a driver accepted an order, immediately marked it as delivered, and submitted an AI-generated image. This fabricated photo depicted the DoorDash order placed at the customer's front door.

Further investigation into the customer's claim revealed that the driver might have exploited a feature allowing access to prior delivery photos of the customer's property. This tactic, combined with a potentially compromised driver account, allowed the scam to occur. The customer noted that another individual in the same city reported a similar experience with the same driver.

Responding to the viral story, DoorDash swiftly investigated the matter. A company spokesperson confirmed the allegations and stated that the driver's account has been permanently removed from the platform. DoorDash emphasized its zero-tolerance policy for fraud and its commitment to using technology and human reviews to safeguard its services.

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Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
The driver allegedly used an AI-generated image of the food order at the customer's door, possibly using prior delivery photos from the customer's address.
DoorDash investigated the incident, permanently deactivated the driver's account, and compensated the affected customer.
No, DoorDash has a zero-tolerance policy for fraud and uses technology to detect and prevent such abuse.

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