Rep. Pete Sessions on Using AI to Combat Federal Fraud

Leveraging AI for Fraud Detection

• 💡 AI, machine learning, and natural language processing are crucial for identifying indicators of potential federal fraud.
• 🎯 The Facet program, a federal audit clearinghouse, uses these technologies to analyze over a trillion dollars in spending annually across federal, state, and local programs.
• 🔍 AI can detect patterns of suspicious activity in one program and flag similar occurrences in entirely different programs or localities, even if they appear unrelated.

Identifying and Addressing Inconsistencies

• ⚠️ These detected patterns are not definitive proof of fraud but serve as critical indicators that warrant further investigation.
• 🧩 Investigations can reveal issues with program design, audit execution, or data collection, leading to program improvements.
• 📊 The GAO website publishes examples of identified fraud patterns, accessible to the public and relevant committees.

Enhancing Government Efficiency with Technology

• 🚀 A fraud prevention engine can process 20,000 applications per second, vastly outperforming human analysts.
• ⚡ This technology provides decision-makers with instantaneous visibility into actual occurrences, aiding in the fight against fraudsters who attempt to hide their activities.
• 🤝 Utilizing these advanced tools responsibly, with appropriate data and risk assessments, is key to gaining an edge in combating fraud.

Collaboration with States on Data and Fraud Prevention

• 🗺️ Collaboration with states on data sharing and fraud prevention efforts is essential, though state capabilities and interests vary significantly.
• 🤝 Pilot projects are recommended to demonstrate the value of AI tools and frameworks in specific state programs.
• 📈 By providing insights into particular risks that states may not have the data or resources to address, federal agencies can build trust and encourage cooperation.