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House Oversight subcommittee hears PRAC, Treasury and GAO on AI and data-sharing to prevent fraud
Summary
Witnesses told a House Oversight subcommittee that data analytics, interagency data access and responsibly applied AI can flag fraud before payments are made; Treasury urged statutory access to key datasets and GAO stressed data quality and workforce training.
WASHINGTON
Lawmakers and government investigators on the House Oversight subcommittee on government operations on Wednesday pressed officials on the scope and limits of tools meant to detect and stop fraud in federal programs before payments are made.
Chairman Sessions opened the hearing by citing recent large-scale schemes and saying the panel would consider making the Pandemic Response Accountability Committee permanent. ‘‘Finding a solution is a very important thing,’’ he said in his opening remarks, and later signaled he will introduce legislation to address PRAC's long-term status.
Ken Diefenbach, executive director of the Pandemic Response Accountability Committee, described the office's work with large datasets and analytics. Diefenbach said PRAC operates on roughly $18.5 million a year, has helped recover ‘‘over $500,000,000 for the taxpayer,’’ and has issued alerts that identified ‘‘over…
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