Affiliation:
1. Grenoble Ecole de Management 12 rue Pierre Sémard Grenoble 38000 France
2. University of Technology Sydney Business School PO Box 123, Ultimo, New South Wales 2007, Australia
Abstract
AbstractWith ChatGPT being promoted to and by academics for writing scholarly articles more effectively, we ask what kind of knowledge does ChatGPT produce, what this means for our reflexivity asresponsiblemanagement educators/researchers, and how an absence of reflexivity disqualifies us from shaping management knowledge inresponsibleways. We urgently need to grasp what makes human knowledge distinct compared with knowledge generated by ChatGPTet al.Thus, we first explain how ChatGPT operates and unpack its intrinsic epistemological limitations. Using high‐probability choices that are derivative, ChatGPT hasno stakein the knowledge it produces and is thus likely prone to offering irresponsible outputs. By contrast, genuine human thinking—embodied in a contingent socio‐cultural setting—uses low‐probability choices both ‘inside’ and ‘outside’ the box of training data, making it creative, contextual and committed. We conclude that the use of ChatGPT is wholly incompatible with scientific responsibility and responsible management.
Subject
Management of Technology and Innovation,Strategy and Management,General Business, Management and Accounting
Cited by
16 articles.
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