AI-BASED AUDIT SYSTEMS: PROSPECTS FOR DETECTING FINANCIAL FRAUD AND REDUCING THE SHADOW ECONOMY

Authors

  • Zurapov Ali Public safety University of the Republic of Uzbekistan Senior teacher of the Department of Economic Sciences, f.d.e.s (PhD)

Keywords:

AI audit, financial fraud, shadow economy, continuous auditing, fraud analytics, risk indicators, audit quality, digital evidence, automation, economic security.

Abstract

his article examines ai-based audit systems: prospects for detecting financial fraud and reducing the shadow economy through an integrated finance, accounting, and institutional governance perspective. It combines recent international standards discussions, Uzbekistan’s 2021-2025 digitalization trajectory, and analytical mechanisms linking data quality with transparency outcomes. The study argues that digital architecture produces durable anti-shadow effects only when artificial intelligence, professional judgment, and compliance design are aligned within accountable institutions.

References

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Published

2026-04-21

How to Cite

AI-BASED AUDIT SYSTEMS: PROSPECTS FOR DETECTING FINANCIAL FRAUD AND REDUCING THE SHADOW ECONOMY. (2026). INTERNATIONAL CONFERENCE ON MEDICINE, SCIENCE, AND EDUCATION, 3(4), 3-20. https://universalconference.us/universalconference/index.php/icmse/article/view/7042