Generative artificial intelligence and academia: Implication for research, teaching and service

Amon Barros, Ajnesh Prasad, Martyna Śliwa

Research output: Contribution to journalEditorialpeer-review

67 Citations (SciVal)

Abstract

In this editorial, we identify some of the opportunities and the consequences of generative artificial intelligence for academia. We discuss how generative artificial intelligence will affect the three main areas of an academic’s job responsibilities: research, teaching and service. To animate our ideas, we offer illustrative examples of how generative artificial intelligence will impact each of these areas. Further recognizing that generative artificial intelligence poses both opportunities and consequences for academia from a management learning perspective, we use examples that represent a positive and a negative outcome resultant of generative artificial intelligence to each of the three areas of academic responsibility.

Original languageEnglish
Pages (from-to)597-604
Number of pages8
JournalManagement Learning
Volume54
Issue number5
DOIs
Publication statusPublished - 30 Nov 2023

Keywords

  • Academia
  • artificial intelligence
  • generative AI
  • research
  • service
  • teaching

ASJC Scopus subject areas

  • General Decision Sciences
  • Strategy and Management
  • Management of Technology and Innovation

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