THE ROLE OF ARTIFICIAL INTELLIGENCE IN AUDITING PUBLIC SECTOR COMPANIES

Abstract

The role of Artificial Intelligence (AI) in auditing public sector companies has become a crucial area of exploration in recent years, as it holds the potential to revolutionise the efficiency, transparency, and accuracy of auditing processes. AI technologies, including machine learning, natural language processing, and predictive analytics, are increasingly being integrated into the auditing practices of public sector organisations. These technologies enable auditors to automate routine tasks, analyse large datasets, detect anomalies, and predict risks with greater precision. This article aims to examine the impact of AI on the auditing processes in public sector companies, focusing on its role in improving audit quality, enhancing decision-making, and reducing human error. Through a detailed literature review and case studies, this paper highlights the opportunities and challenges associated with AI implementation in public sector auditing. The findings suggest that while AI can significantly enhance auditing processes, its integration requires careful consideration of ethical concerns, data privacy issues, and the need for continuous training of auditors.