Generative AI in Accounting and Auditing: A Literature Review and Future Agenda

Abstract

Generative artificial intelligence (AI) have a unique value on helping people as a tool, it already show its outstanding advantage on some area, like data dealing, form the document and check risk on some level, this kind of tool not only bring the new development opportunity, but also face many challenge. In recent year, this change attract many people to focus and explore. However, there is still a lack of comprehensive analysis and research, and there is not enough in-depth discussion on key issues. This article adopts the methods of keyword retrieval and citation traceability to identify the literature related to the application of generative AI in accounting and auditing, and systematically analyze and summarize it. It aims to reveal the development trajectory of generative AI, the current application status and its great potential, while exploring solutions to the current key challenges. Solving these problems is of great significance to promote the efficient and reliable implementation of generative AI in the field of accounting and auditing. This will help accounting and auditing professionals adapt to technological changes, deepen the industry's understanding of emerging technologies, support the improvement of relevant policies and regulations, and provide guidance for future research.