In 2024, the U.S. Department of the Treasury used machine learning AI to prevent and recover over $4 billion in fraudulent or improper payments, marking a dramatic increase from the $652.7 million detected in the previous year. The Office of Payment Integrity reported that AI models identified high-risk transactions, leading to a prevention of $2.5 billion in fraud and aiding in the recovery of $1 billion from check fraud. Additionally, efficiency improvements in payment processing led to the prevention of $180 million in improper payments, while risk-based screening blocked another $500 million in potential fraud. Deputy Treasury Secretary Wally Adeyemo emphasized the department's commitment to safeguarding taxpayer money and indicated ongoing partnerships with other federal agencies to enhance fraud-fighting capabilities as online payment fraud projections rise to $362 billion by 2028.

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