In the last fiscal year, the US Treasury has leveraged machine learning AI to prevent and recover over $4 billion in fraud and improper payments, marking a significant increase from the previous year.
A notable aspect of the Treasury's fraud prevention strategy is the use of machine learning AI to expedite the identification of Treasury check fraud, which accounted for one-fourth of the $4 billion recovered.
The Treasury's efforts included $1 billion in recovery and $2.5 billion in prevention, showcasing the critical role that advanced technology plays in financial oversight.
Plans to share this machine-learning technology with other federal agencies aim to enhance their fraud detection capabilities, indicating a broader governmental approach to combatting financial fraud.
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