Machine Learning Is Helping the US Treasury Identify Fraud
Briefly

The U.S. Treasury Department recently announced that it was using machine learning to detect 'fraud and improper payments' and that it had prevented and recovered $4 billion worth of such payments in the latest fiscal year.
'We've made significant progress during the past year in preventing over $4 billion in fraudulent and improper payments,' said the agency's deputy secretary, Wally Adeyemo, in a statement.
Engadget's Sarah Fielding pointed out one apparent paradox of this announcement - namely, that AI is also frequently used to carry out fraud.
Earlier this year, it announced a partnership with the U.S. Department of Labor that provided anti-fraud technology to the state agencies responsible for issuing unemployment payments.
Read at InsideHook
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