The Impact of Artificial Intelligence on Accounting Practices: A Design Cross Innovation Perspective

Abstract

Artificial Intelligence (AI) is rapidly transforming various industries, and accounting is no exception. This paper re-examines the impact of AI on accounting practices from a design cross-innovation perspective, building upon existing research while recontextualizing it within a broader interdisciplinary framework. This paper analyzes how AI automates processes, enhances operational efficiency, and improves accuracy in financial reporting, fraud prevention, and regulatory compliance, which focuses on the optimization of research methods, system design, and experimental processes, providing detailed data analysis and graphical representations to substantiate findings. The paper highlights AI's potential to streamline operations, perform knowledge-intensive tasks, and combat fraudulent activities, while also addressing challenges such as algorithmic biases, workforce displacement, and ethical considerations. By integrating design innovation principles, this paper aims to elevate the theoretical value and practical implications of AI in accounting, offering a robust framework for future research and implementation in a global context.