AI COMPETENCIES FOR INTERNAL AUDITORS IN THE PUBLIC SECTOR

Abstract

This article examines the critical integration of Artificial Intelligence (AI) competencies within the realm of internal auditing, particularly in the public sector. It addresses the existing gap in understanding the specific AI-related competencies as presented by The Institute of Internal Auditors (IIA) and explores their practical application for internal auditors. The study begins by tracing the origins and evolution of AI, highlighting its increasing significance across various sectors, including internal auditing. It delves into the transformative impact of AI on audit practices, emphasizing the need for internal auditors to adapt and develop new competencies in response to this technological evolution. The paper underscores the importance of AI in enhancing the quality and efficiency of auditing by automating tasks like fraud detection and anomaly identification. It articulates the imperative for internal auditors to possess a comprehensive understanding of AI, its risks, and opportunities, and to apply these insights in their audit processes. The study further explores the role of continuing professional education in equipping auditors with the necessary AI competencies, reflecting on the IIA’s emphasis on education and competency development in light of AI integration. By elucidating the link between AI theoretical knowledge and its practical application in internal audits, the article aims to empower internal auditors with the tools and insights necessary to navigate the evolving landscape of audit practice in the era of AI. It concludes by emphasizing the synergy between AI sophistication and human competence as indispensable for achieving optimal audit results and maintaining the integrity and effectiveness of the audit process in the digital age.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).