The Future of Research in an Artificial Intelligence-Driven World

Author:

Kulkarni Mukta1,Mantere Saku2,Vaara Eero3,van den Broek Elmira4ORCID,Pachidi Stella5,Glaser Vern L.6,Gehman Joel7ORCID,Petriglieri Gianpiero8,Lindebaum Dirk9,Cameron Lindsey D.10,Rahman Hatim A.11,Islam Gazi9,Greenwood Michelle12

Affiliation:

1. Indian Institute of Management Bangalore, Bangalore, India

2. McGill University, Quebec, Canada

3. University of Oxford, Oxford, UK

4. Stockholm School of Economics, Stockholm, Sweden

5. University of Cambridge, Cambridge, UK

6. University of Alberta, Alberta, Canada

7. George Washington University, Washington, DC, USA

8. INSEAD, Fontainebleau, France

9. Grenoble Ecole de Management, Grenoble, France

10. Wharton School, University of Pennsylvania, Pennsylvania, USA

11. Kellogg School of Management, Northwestern University, Illinois, USA

12. Monash University, Victoria, Australia

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.

Publisher

SAGE Publications

Reference159 articles.

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