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

Nelson Phillips, Sai Kalvapalle, Mark T. Kennedy

Research output: Contribution to journalConference articlepeer-review

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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.
Original languageEnglish
Article number 26317877241275113
Number of pages20
JournalOrganization Theory
Volume5
Issue number3
DOIs
Publication statusPublished - Sept 2024

Keywords

  • Categories
  • Category construction
  • Category work
  • Cultural evolution
  • Generative AI
  • Social construction

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