Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37455
Appears in Collections:Management, Work and Organisation Journal Articles
Peer Review Status: Refereed
Title: Philosophical approaches to managing generative AI agents as artificial persons at work
Author(s): Kane, Thomas B
Contact Email: t.b.kane@stir.ac.uk
Keywords: Word
generative AI
cyberphysical systems
cybernetics
management discourse
Issue Date: 25-Mar-2025
Date Deposited: 23-Sep-2025
Citation: Kane TB (2025) Philosophical approaches to managing generative AI agents as artificial persons at work. <i>Journal of Business Analytics</i>, 8, pp. 250-266. https://doi.org/10.1080/2573234x.2025.2482652
Abstract: The Fourth Industrial Revolution is expected to disrupt economic and social systems nationally, internationally and globally. It is clear that two of the distinguishing disruptors of the Fourth Industrial Revolution have been in business uses of Generative Artificial Intelligence and Cyberphysical Systems across the Internet of Things. This paper offers Business Analysts new analytical tools for guiding business strategy in these times. The contribution of the paper lies in adapting Beer’s Viable System Model for use in the Fourth Industrial Revolution, by inserting into its classic format contributions from three profoundly significant philosophers of society, of being, and of language. Firstly, by presenting any institutional viable systems as intentional artificial persons at work within the bounds of a Hobbesian social contract. Secondly, it demonstrates how the Viable System Model can adopt Heideggerian phenomenology to explore the ontological characteristics of generative AI agents. Finally, Wittgenstein language games are employed to explore the intentional behaviours of artificial persons with respect to their allotted social contract. The tools offered are proposed to aid national governance, business management and to ensure decorous living conditions for natural and artificial persons alike during this exciting new industrial revolution.
DOI Link: 10.1080/2573234x.2025.2482652
Rights: © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Licence URL(s): http://creativecommons.org/licenses/by-nc-nd/4.0/

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