Cited by 80Artificial Intelligence ApplicationsEthics and Social Impacts of AIComputational and Text Analysis Methods

The Future of Research in an Artificial Intelligence-Driven World

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Kulkarni, Mukta, Mantere, Saku, Vaara, Eero, van den Broek, Elmira, Pachidi, Stella, Glaser, Vern L., Gehman, Joel, Petriglieri, Gianpiero +5 more·2024·Journal of Management Inquiry

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.

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Authors
Kulkarni, M., Mantere, S., Vaara, E., van den Broek, E., Pachidi, S., Glaser, V. L., Gehman, J., Petriglieri, G., Lindebaum, D., Cameron, L. D., Rahman, H. A., Islam, G., & Greenwood, M.
Affiliations
  • Indian Institute of Management Bangalore (IN)
  • McGill University (CA)
  • University of Oxford (GB)
  • Stockholm School of Economics, Stockholm, Sweden
  • University of Cambridge (GB)
  • University of Alberta (CA)
  • George Washington University (US)
  • INSEAD (FR)
  • Grenoble Ecole de Management (FR)
  • University of Pennsylvania (US)
  • Northwestern University (US)
  • Monash University (AU)
Corresponding author
Kulkarni, Mukta
Venue
Journal of Management Inquiry
Published
2024-02-22
Volume
33
Issue
3
Pages
207-229
ISSN
  • 1056-4926 (ISSN-L)
  • 1552-6542
OpenAlex
W4392109933
Cited by
80
References
17
Citations by year
2026: 37 · 2025: 29 · 2024: 13 · 2023: 1
FWCI
11.70
Type
journal article
Language
en
Open access
Locations
  • Journal of Management Inquiry (publishedVersion)
  • Apollo (University of Cambridge) (submittedVersion, cc-by)
  • Apollo (cc-by)
Funders
  • University of Alberta
  • Times Higher Education
  • Social Sciences and Humanities Research Council of Canada
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › General Social Sciences › Computational and Text Analysis Methods
Keywords
artificial intelligence in research, algorithmic bias, fake information, AI misinformation, future of research, research philosophy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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