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The Future of Research in an Artificial Intelligence-Driven World

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Kulkarni, M 
Mantere, S 
Vaara, E 
Pachidi, S 


jats:p 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. </jats:p>



35 Commerce, Management, Tourism and Services, 3507 Strategy, Management and Organisational Behaviour, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD), Bioengineering, Generic health relevance

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Journal of Management Inquiry

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SAGE Publications
Vern L. Glaser and Joel Gehman would like to thank Jennifer Sloan and Dirk Lindebaum for their comments and feedback on this research. This research has been funded in part by the Social Sciences and Humanities Research Council of Canada and the Alberta School of Business. Dirk Lindebaum gratefully recognizes the support from the Alberta Business Family Institute at the University of Alberta School of Business as part of my visiting professorship