Zurapov, Ali (2026) AI-BASED AUDIT SYSTEMS: PROSPECTS FOR DETECTING FINANCIAL FRAUD AND REDUCING THE SHADOW ECONOMY. INTERNATIONAL CONFERENCE ON MEDICINE, SCIENCE, AND EDUCATION; Vol. 3 No. 4 (2026): INTERNATIONAL CONFERENCE ON MEDICINE, SCIENCE, AND EDUCATION; 3-20.
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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.
| Item Type: | Article |
|---|---|
| Additional Information: | Imported from International Conference on Medicine, Science, and Education |
| SWORD Depositor: | Admin User |
| Depositing User: | Admin User |
| Date Deposited: | 27 Sep 2026 22:18 |
| Last Modified: | 27 Sep 2026 22:18 |
| URI: | https://universalpublishings.uz/id/eprint/14720 |
