ChatGPT: reflections from the UK higher education institutions, accountancy bodies and BIG4s

Thereza Raquel Sales de Aguiar

Accounting Research Journal, 2024, vol. 37, issue 3, 308-329

Abstract: Purpose - This study aims to explore ChatGPT in the context of the UK higher education (HE) and accountancy profession. Design/methodology/approach - Narrative research that applies deductive thematic analysis to investigate secondary data produced by the UK HE governing bodies, the ancient UK universities, accountancy bodies and BIG4s. Findings - Discussions held by the governing bodies of HE in the UK follow the advice found in the literature on how to acknowledge contributions from artificial intelligence. However, these discussions are informal. Universities provide guidance on the use of ChatGPT; however, these documents differ, compromising a consistent approach across institutions. Similarly, accountancy researchers lack uniform guidance. This is concerning because the data analysis indicates that ChatGPT’s limitations may have a detrimental impact on compliance with the UK Concordat to support research integrity. Moreover, accountancy bodies are predicting major changes in the accountancy profession due to automation, which will potentially change the job market and the content of qualification examinations. BIG4s have begun automating, with some negative impacts already evident. Thus, the field should be ready for future challenges. Originality/value - This study explores ChatGPT in the context of the UK HE and accountancy profession. It provides a detailed analysis of the risks and opportunities associated with the use of ChatGPG, while also providing suggestions for risk mitigation to assist accountancy students, researchers and practitioners.

Keywords: ChatGTP; Academic misconduct; Research integrity; Accountancy profession (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eme:arjpps:arj-07-2023-0184

DOI: 10.1108/ARJ-07-2023-0184

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