Accounting Data Science Education in the Era of AI and Digital Transformation (DX) —Its Necessity and Challenges—

Abstract

This paper examines the evolving roles of occupations and the accounting profession in the era of artificial intelligence (AI) and digital transformation (DX), emphasizing the need for Accounting Data Science education. The advancement of DX has accelerated the use of data and AI, including generative AI models like large language models (LLMs), across various fields. AI significantly enhances decision-making and automates data processing, revolutionizing business processes. However, its adoption raises concerns about the black-box nature of AI and the need for explainability, underscoring the importance of professionals skilled in addressing these issues. Accounting practitioners must effectively leverage AI outcomes while complying with legal regulations and accounting standards, whether using automatic, sequential, or interactive searches. To meet these demands, establishing a comprehensive and practical accounting data science education program is essential, equipping professionals to bridge the gap between technological advancements and the accounting profession’s evolving requirements.