Anti-corruption by auditing with big data and large language model technologies

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Authors: Xing Zhang, Yuhao Huang
Cited by: 0
References: 6

Abstract

The significant advancements in Large Language Model (LLM) and the maturity of big data technology present a transformative solution for audit anti-corruption by auditing. This article analyses the limitations of the traditional audit anticorruption model in the digital environment and the current practice of big data and large language model technology in auditing and anti-corruption. The article also puts forward the ways of how to apply the big data and large language model technology in assisting audits for anti-corruption.

Fields of Study & Subjects

Artificial Intelligence in Law Corruption and Economic Development E-Government and Public Services

Publication details

Journal / source
International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL)
Pages
24–24
Publication date
15 March 2026
Language
EN