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Artificial intelligence co-piloted auditing

Author

Listed:
  • Gu, Hanchi
  • Schreyer, Marco
  • Moffitt, Kevin
  • Vasarhelyi, Miklos

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.

Suggested Citation

  • Gu, Hanchi & Schreyer, Marco & Moffitt, Kevin & Vasarhelyi, Miklos, 2024. "Artificial intelligence co-piloted auditing," International Journal of Accounting Information Systems, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:ijoais:v:54:y:2024:i:c:s1467089524000319
    DOI: 10.1016/j.accinf.2024.100698
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    References listed on IDEAS

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