The US Treasury is using AI (a vehicle for fraud) to detect fraud

The US Treasury Department has utilized machine learning AI to enhance its fraud detection processes, resulting in the prevention and recovery of over $4 billion in fraudulent and improper payments in the last fiscal year. This amount represents a significant increase from the previous year's $652.7 million. A quarter of the $4 billion was recovered through the use of machine learning AI to identify Treasury check fraud. The Treasury also prevented $2.5 billion in fraudulent transactions by identifying and prioritizing high-risk transactions, and an additional $680 million through other prevention techniques. The Treasury plans to share its AI technology with other federal agencies to aid in their fraud detection efforts. Some agencies, such as the IRS, have already implemented their own AI-powered solutions to combat tax evasion and improve services. The IRS uses AI to identify tax evaders, automate services, and conduct audits. The Treasury's use of AI has led to a substantial increase in fraud prevention and recovery. While some may be hesitant to rely on AI due to its potential for misuse, the Treasury's success demonstrates its potential benefits. The sharing of this technology with other agencies may lead to further improvements in fraud detection and prevention across the government.