After Hours: The Role of AI and Technology in Preventing Fraud and Improper Payments

Description

The Government Accountability Office (GAO) reported in March 2025 that the U.S. government loses between $233 billion and $521 billion annually to fraud, based on data from fiscal years 2018 through 2022. Additionally, improper government payments have totaled an estimated $2.8 trillion since fiscal year 2003.

To combat this, fraud prevention and improper payment detection increasingly use AI and emerging technologies, including machine learning algorithms, predictive analytics, and advanced data mining, to identify unusual patterns, behaviors, or deviations in transactions and claims. These tools enable proactive detection of intentional fraud (e.g., identity theft or fraudulent invoices) and unintentional errors (e.g., billing mismatches) through innovations such as real-time anomaly detection, natural language processing for claim validation, behavioral biometrics, and automated ongoing monitoring, all while keeping processes efficient and user-friendly.

Join us in person as thought leaders from government and industry explore strategies to ensure payments reach the right recipients, for the correct goods or services, and in the correct amounts, leveraging AI-driven insights, emerging technology integrations, and robust control systems to improve accuracy and security. 

Moderating-Pete Tseronis, Founder and CEO, Dots and Bridges

Our Panelist 

• Joseph Roach, Deputy Chief Financial Officer, Health Resources and Services Administration, U.S. Department of Health and Human Services
• TBD
• TBD

Role-Specific Takeaway Callouts 

For Government Practitioners

• Gain practical insight into how AI and advanced analytics are operationalized to stop fraud and improper payments, not just detect issues after the fact.
• Learn how agencies are balancing innovation with accountability, including governance, transparency, and evolving oversight expectations.
• Explore strategies for aligning finance, IT, data, and program teams to scale trusted, mission-aligned solutions.

For Industry Partners

• Understand the real-world challenges agencies face when implementing AI for payment integrity, including data quality issues, outdated systems, and policy constraints.
• Learn what government leaders prioritize most in AI solutions beyond just algorithms, such as explainability, controls, and integration.
• Identify where responsible technology partnerships can boost impact while ensuring compliance, building trust, and promoting sustainability.

For Academia and Research Institutions

• Explore real-world examples of how AI, data science, and emerging technologies address public-sector fraud and payment integrity challenges.
• Explore governance, ethical, and risk factors affecting AI implementation in high-stakes government environments.
• Identify opportunities to inform policy, research, and workforce development by connecting theory to practical outcomes.