Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1

Purpose: The article aims to summarize current research trends and identify potential research directions for artificial intelligence (AI) in auditing. Need for the study: Previous studies using bibliometric methods exploring AI directly in auditing were not identified. Instead, the articles simultaneously focused on accounting and auditing, AI, and other new technologies. It indicates the research gap that this article will fill. Methodology: The article presents an overview of published articles about AI in auditing based on a critical literature review and a comprehensive bibliometric analysis utilizing two different tools - VOSviewer and Bibliometrix - to map the current research and monitor the development of key themes over time. Findings: This review analyzes the current state of the literature, summarizes the most productive authors, countries, and journals, and maps the research directions on AI in auditing. The study highlights prevalent themes such as algorithmic fairness and ethics. Despite threats and challenges for auditors, AI provides many benefits in auditing procedures by automating many time-consuming and expensive tasks, replacing humans in analytical tasks, providing risk detection, and decreasing human errors. Therefore, auditors can focus on unautomated processes and ensure their profession will be irreplaceable. Practical Implications: Our study contributes to the current literature by highlighting key themes specific to previous research. For researchers, the article provides a roadmap for future outstanding scientific work, but also helps auditors understand the role of AI in their profession and the challenges that await them.