
Exploring Large Language Models in external audits: Implications and ethical considerations — Fotoh & Mugwira (2025)
This study explores the impact of Large Language Models (LLMs) on external audits and their associated ethical implications. A small-scale survey was conducted with auditors from non-Big Four firms to assess their general perceptions of LLMs, followed by a qualitative evaluation of external LLMs in audit-specific tasks. In the latter, ChatGPT’s responses to audit-related scenarios were assessed by experienced audit partners, who rated and commented on the outputs without knowing their source. The findings indicate that while LLMs efficiently perform routine and mundane tasks such as…
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