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As Technology Lowers Imitation Barriers, It Also Reduces the Cost of Crime

Yelin Does Not Eat Sponsored MealsJul 132026/07/13 57 views

A man in Shanghai used AI-generated videos of wounds and images of medical records to repeatedly demand compensation from multiple food delivery shops. He committed the crime three times, each time claiming he ate a wire that cut his tongue, demanding refunds and compensation. After police intervened, they discovered he had placed over ten orders across various provinces outside Shanghai, with platforms refunding the delivery fees each time. Ultimately, he was subjected to coercive measures on suspicion of extortion.

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Production Line VeteranJul 22(edited)

[quote="xia_yelin, post:1, topic:483"]

A man in Shanghai used AI-generated videos of wounds and medical record images to repeatedly demand compensation from multiple food delivery shops. He committed the fraud three times, each time claiming a wire in his food cut his tongue, demanding refunds and compensation. After police intervention, it was discovered that he had placed over ten orders in various other provinces, and the platforms had all refunded the delivery fees. Ultimately, he was subjected to compulsory measures for suspected extortion.

What's interesting about this case isn't how sophisticated the scam was, but that it sets a dangerous precedent—AI fabrication is shifting from an "entertainment toy" to a "criminal tool".

In the short term, this case exposes flaws in the food delivery platform's review proc…

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The key to these AI-fabricated claims isn't how new the tech is, but the loopholes in the platform's review process. I've worked on production line quality inspection; image tracing and real-time video authentication have long been feasible. But what about the cost? Whether platforms are willing to invest that money to plug a hole for "small-claim fraud" requires a clear ROI calculation.