Challenges and opportunities for artificial intelligence in auditing: Evidence from the field

IF 4.1 3区管理学 Q2 BUSINESS

International Journal of Accounting Information Systems Pub Date : 2025-01-21 DOI:10.1016/j.accinf.2025.100734

Julia Kokina, Shay Blanchette, Thomas H. Davenport, Dessislava Pachamanova

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引用次数: 0

Abstract

In this study we research the adoption of artificial intelligence (AI) in auditing by large public accounting firms, with emphasis on its challenges and opportunities. Some previous studies point to delayed adoption of AI in auditing due to regulations and the need for additional safeguards while others document extensive AI implementation. To address this dissensus, we conducted 22 interviews with experienced audit professionals. We find that “simple AI” technologies such as key data extraction from documents and optical character recognition are used widely in audits while “complex AI” tools are only being developed. We find RPA is used to automate repetitive administrative processes while the use of RPA for audit tasks is not as common. We also find that the main AI adoption challenges are related to transparency and explainability, AI bias, data privacy, robustness and reliability, fear of auditor overreliance on AI, and the need for AI guidance. We present ideas for addressing these challenges based on our research and lessons from other fields.

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来源期刊

International Journal of Accounting Information Systems Multiple-

CiteScore

9.00

自引率

6.50%

发文量

期刊介绍： The International Journal of Accounting Information Systems will publish thoughtful, well developed articles that examine the rapidly evolving relationship between accounting and information technology. Articles may range from empirical to analytical, from practice-based to the development of new techniques, but must be related to problems facing the integration of accounting and information technology. The journal will address (but will not limit itself to) the following specific issues: control and auditability of information systems; management of information technology; artificial intelligence research in accounting; development issues in accounting and information systems; human factors issues related to information technology; development of theories related to information technology; methodological issues in information technology research; information systems validation; human–computer interaction research in accounting information systems. The journal welcomes and encourages articles from both practitioners and academicians.