How technology can reduce government fraud
Artificial intelligence (AI) is being deployed in many different sectors, but one of the most important growth areas lies in finance and operations. Both public and private sector organizations are using AI and other emerging technologies for financial management and fraud detection. Advanced algorithms can spot abnormalities and outliers that can be referred for human review to see if fraud actually has taken place.
On September 15, the Center for Technology Innovation at Brookings hosted a webinar on how technology can reduce government fraud. Expert panelists discussed how AI is being used to combat fraud and ways to overcome obstacles to public sector innovation, such as procurement issues, untrained workers, data limitations, a lack of technical standards, cultural barriers to digital change, and making sure anti-fraud applications adhere to responsible AI principles. Participants also discussed a new Brookings report on this topic, written by panelist Darrell West.
Viewers submitted questions for speakers by emailing email@example.com or via Twitter at @BrookingsGov by using #AIGovernance.
Darrell M. West
Senior Fellow, Governance Studies - The Brookings Institution
Beth Simone Noveck
Director - The Governance Lab
Chief Innovation Officer - State of New Jersey
Professor - Northeastern University
CEO and Director - FinRegLab
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