Large Language Models: An Emerging Technology in Accounting

Author:

Vasarhelyi Miklos A.ORCID,Moffitt Kevin C.1ORCID,Stewart Trevor2ORCID,Sunderland Dan3ORCID

Affiliation:

1. Rutgers, The State University of New Jersey

2. Deloitte

3. Northeastern University

Abstract

ABSTRACT This commentary discusses how large language models like ChatGPT hold transformative potential in accounting, including education, research, and professional auditing. In the educational sphere, the advent of ubiquitous artificial intelligence (AI) tutors could potentially solve Bloom’s Two Sigma Problem, heralding a new era of personalized learning. Accounting research stands to benefit immensely, particularly in tasks that rely heavily on natural language processing. In the professional auditing domain, the capabilities of ChatGPT to create broad outlines of risks inherent in certain accounts and assertions can enable engagement teams to create more risk-responsive audit plans. However, although the advantages are remarkable, they are accompanied by potential pitfalls that necessitate cautious navigation. Even with these challenges, AI’s impending transformation in personal and professional lives cannot be overlooked, as accounting stands on the brink of significant change. JEL Classifications: M40; M42; O33.

Publisher

American Accounting Association

Subject

Computer Science Applications,Accounting

Reference16 articles.

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2. de Kok, T. 2023. Generative LLMs and textual analysis in accounting: (Chat) GPT as research assistant? (Working paper). https://doi.org/10.2139/ssrn.4429658

3. Doctorow, C. 2023. The ‘enshittification’ of TikTok. Wired (January 23). https://www.wired.com/story/tiktok-platforms-cory-doctorow/

4. Edwards, B. 2023. Study claims ChatGPT is losing capability, but some experts aren’t convinced. https://arstechnica.com/information-technology/2023/07/is-chatgpt-getting-worse-over-time-study-claims-yes-but-others-arent-sure/

5. Gu, H., M.Schreyer, K. C. Moffitt, and M. A.Vasarhelyi. 2023. Artificial intelligence co-piloted auditing. (Working paper). https://doi.org/10.2139/ssrn.4444763

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