Beyond the Turing Test: Exploring the implications of generative AI for category construction

Author:

Phillips Nelson1ORCID,Kalvapalle Sai2,Kennedy Mark3

Affiliation:

1. College of Engineering, University of California, Santa Barbara, Santa Barbara, CA, USA

2. Nova School of Business and Economics, Lisboa, Portugal

3. Imperial College Business School, London, UK

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.

Publisher

SAGE Publications

Reference70 articles.

1. Emplacing category dynamics: Houselessness and the emergence of transitional micro-housing villages

2. We Are All Theorists of Technology Now: A Relational Perspective on Emerging Technology and Organizing

3. Beane M. (2023, November 11). Programming social machines. Wild World of Work. December 4, 2023. https://www.wildworldofwork.org/p/programming-social-machines

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