Generative AI and Professional Judgement: Case-Evidence From An Accounting Practice

Sung Hwan Chai, Brian Nicholson, George Salijeni, Leonid Sokolovskyy

Research output: Chapter in Book/Published conference outputConference publication

Abstract

The purpose of this paper is to explore the influence of Generative AI on professional judgement. Drawing on our preliminary findings from an ongoing case study of a UK-based mid-tier accounting practice, we explore how GenAI can influence judgement related tasks. Our preliminary findings indicate that GenAI currently functions as a ‘sparring partner’ for well-defined, structured, and ‘less risky’ tasks, while tasks perceived as complex and ‘risky’ largely remain reliant on human expertise. Our preliminary analysis identifies potential ethical implications such as deskilling or ‘never skilling’ professionals, and potential replacement of human-human feedback loop with emerging ‘AI loops’ in which professionals rely on human-AI feedback cycle in their day-to-day tasks. We argue that the emergence of the ‘AI loop’ may amplify existing organizational hierarchies, tensions and widen the gap between experienced and less experienced professionals. Our research contributes to understanding GenAI’s evolving role in professional judgement by revealing its impact on knowledge and professional development.
Original languageEnglish
Title of host publicationECIS 2025 TREOs
Subtitle of host publicationPeople First: Constructing Digital Futures Together
Number of pages3
Publication statusPublished - 14 Jun 2025

Fingerprint

Dive into the research topics of 'Generative AI and Professional Judgement: Case-Evidence From An Accounting Practice'. Together they form a unique fingerprint.

Cite this