The US Department of Justice uncovered a scheme that makes antifraud eyes bleed. Five arrests. Over $32 million in confirmed losses. The estimated total damage – $130 million.
The scheme: AI stamped out "fake students" for federal FAFSA aid. Not one forged diploma – a conveyor of digital humans. Each "student" took courses, earned credits and collected budget money.
The scale: 830,000 fraudulent applications. Not a typo. Eight hundred thirty thousand forms built by a machine out of nothing.
What's telling here: on paper every "student" looked flawless. The data matched, courses completed, applications filed. What broke wasn't the picture – it was the link: behaviour, environment, history. The things a form doesn't show.
One fake passes a check easily. Eight hundred thousand – never. Scale itself becomes evidence: the system learns to see the conveyor.
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