Beyond the Turing Test: exploring the implications of generative AI for category construction
Author(s)
Phillips, Nelson
Kalvapalle, Sai
Kennedy, Mark
Type
Journal Article
Abstract
As generative AI systems move beyond Turing’s benchmark for whether a machine exhibits human-like intelligence, what implications does this technological milestone have for organization theory? We engage with this question by considering how the increasing creativity and social competence exhibited by generative AI impacts processes of social construction and cultural evolution that have, up to this point, been the exclusive domain of humans. More specifically, we consider what it means to have intelligent machines capable of category work, which we define here as both the culturally savvy use of categories and purposeful participation in the processes of construction that underpin systems of categories more generally. We go on to explore some of the implications for individuals, organizations and societies of the appearance of this new class of artificial participants in the processes that constitute category systems.
Date Issued
2024-07
Date Acceptance
2024-09-01
Citation
Organization Theory, 2024, 5 (3)
ISSN
2631-7877
Publisher
SAGE Publications
Journal / Book Title
Organization Theory
Volume
5
Issue
3
Copyright Statement
© The Author(s) 2024. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
License URL
Identifier
http://dx.doi.org/10.1177/26317877241275113
Publication Status
Published
Date Publish Online
2024-09-13