Track
Track 1: Technology, Data & Institutional Transformation
Publication Date (MM-DD-YYYY)
3-7-2026
Start Date (MM-DD-YYYY)
3-7-2026 2:15 PM
End Date (MM-DD-YYYY)
3-7-2026 2:45 PM
Presentation Type
Presentation
Description
The United States is seeing an alarming rise in financial fraud and suspicious activity trends within its government entities (Bruce et al., 2024). According to the Accountability Office (2024) the federal government estimates the annual financial loss has increased from $233 billion to $521 billion, based on data from fiscal years 2018 through 2022. Advancements in technology are not strictly limited to government financial solutions. The Federal Bureau of Investigation (2024) found a rise in generative Artificial Intelligence (AI) exploitation among criminals to facilitate financial schemes such as fraud and extortion. The literature review aims to investigate the gap in how the gradual adoption of AI has continuously affected the accuracy and efficiency of fraud detection and prevention in government accounting. Government agencies have diverse available resources that can determine their ability to combat the rising risk of financial fraud. This literature review analyzes a collection of existing scholarly articles regarding the influence the gradual adoption of AI has on the accuracy and efficiency of fraud detection and prevention in the United States government accounting practices. The findings reveal limitations in the research on AI's effects on fraud detection and prevention accuracy and efficiency in government accounting within the United States. Continuous research is vital as technological evolution will consistently affect fraud detection and prevention methods.
Recommended Citation
(2026). AI in government accounting & fraud detection. Retrieved from https://fuse.franklin.edu/dsa-conf/2026/presentations/10
AI in government accounting & fraud detection
The United States is seeing an alarming rise in financial fraud and suspicious activity trends within its government entities (Bruce et al., 2024). According to the Accountability Office (2024) the federal government estimates the annual financial loss has increased from $233 billion to $521 billion, based on data from fiscal years 2018 through 2022. Advancements in technology are not strictly limited to government financial solutions. The Federal Bureau of Investigation (2024) found a rise in generative Artificial Intelligence (AI) exploitation among criminals to facilitate financial schemes such as fraud and extortion. The literature review aims to investigate the gap in how the gradual adoption of AI has continuously affected the accuracy and efficiency of fraud detection and prevention in government accounting. Government agencies have diverse available resources that can determine their ability to combat the rising risk of financial fraud. This literature review analyzes a collection of existing scholarly articles regarding the influence the gradual adoption of AI has on the accuracy and efficiency of fraud detection and prevention in the United States government accounting practices. The findings reveal limitations in the research on AI's effects on fraud detection and prevention accuracy and efficiency in government accounting within the United States. Continuous research is vital as technological evolution will consistently affect fraud detection and prevention methods.
