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

ORIGINAL SOURCE
Originally published in INTERNATIONAL CONFERENCE ON MEDICINE, SCIENCE, AND EDUCATION; Vol. 3 No. 4 (2026): INTERNATIONAL CONFERENCE ON MEDICINE, SCIENCE, AND EDUCATION; 3-20.

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

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