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The future of research in an artificial intelligence-driven world

  • Mukta Kulkarni
  • , Saku Mantere
  • , Eero Vaara
  • , Elmira van den Broek
  • , Stella Pachidi
  • , Vern L. Glaser
  • , Joel Gehman
  • , Gianpiero Petriglieri
  • , Dirk Lindebaum
  • , Lindsey D. Cameron
  • , Hatim A. Rahman
  • , Gazi Islam
  • , Michelle Greenwood

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Current and future developments in artificial intelligence (AI) systems have the capacity to revolutionize the research process for better or worse. On the one hand, AI systems can serve as collaborators as they help streamline and conduct our research. On the other hand, such systems can also become our adversaries when they impoverish our ability to learn as theorists, or when they lead us astray through inaccurate, biased, or fake information. No matter which angle is considered, and whether we like it or not, AI systems are here to stay. In this curated discussion, we raise questions about human centrality and agency in the research process, and about the multiple philosophical and practical challenges we are facing now and ones we will face in the future.

Original languageEnglish
Pages (from-to)207-229
Number of pages23
JournalJournal of Management Inquiry
Volume33
Issue number3
DOIs
Publication statusPublished - Jul 2024

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