Artificial intelligence co-piloted auditing

Hanchi Gu, Marco Schreyer, Kevin Moffitt and Miklos Vasarhelyi

International Journal of Accounting Information Systems, 2024, vol. 54, issue C

Abstract: This paper proposes the concept of artificial intelligence co-piloted auditing, emphasizing the collaborative potential of auditors and foundation models in the auditing domain. The paper discusses the future relationship and interactions of human auditors and AI, imagining an audit setup where auditors’ capabilities are enhanced through artificial intelligence across a variety of audit tasks. To exemplify the potential of this co-piloted audit paradigm, we illustrate a systematic fine-tuning approach to foundation models using Chain-of-Thought prompting. This study showcases how foundation models can work as collaborators flexibly with auditors, enabling the model to accurately identify transactions from instructions. This study provides a detailed description of the formulated prompt protocols and the corresponding responses generated by ChatGPT, ensuring reproducibility. We envision this work as an initial step towards the widespread implementation of co-piloted auditing, paving the way for more efficient, accurate, and insightful audit procedures.

Keywords: Auditing; Deep Learning; Foundation Model; ChatGPT; Accounting Information System; Chain-of-Thought Prompting (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1467089524000319
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ijoais:v:54:y:2024:i:c:s1467089524000319

DOI: 10.1016/j.accinf.2024.100698

Access Statistics for this article

International Journal of Accounting Information Systems is currently edited by S.V. Grabski

More articles in International Journal of Accounting Information Systems from Elsevier
Bibliographic data for series maintained by Catherine Liu ().