The Future of Research in an Artificial Intelligence-Driven World

被引：11

作者：

Kulkarni, Mukta ^{[1
]}

Mantere, Saku ^{[2
]}

Vaara, Eero ^{[3
]}

van den Broek, Elmira ^{[4
]}

Pachidi, Stella ^{[5
]}

Glaser, Vern L. ^{[6
]}

Gehman, Joel ^{[7
]}

Petriglieri, Gianpiero ^{[8
]}

Lindebaum, Dirk ^{[9
]}

Cameron, Lindsey D. ^{[10
]}

Rahman, Hatim A. ^{[11
]}

Islam, Gazi ^{[9
]}

Greenwood, Michelle ^{[12
]}

机构：

[1] Indian Inst Management Bangalore, Bangalore, India

[2] McGill Univ, Quebec City, PQ, Canada

[3] Univ Oxford, Oxford, England

[4] Stockholm Sch Econ, Dept Econ, Stockholm, Sweden

[5] Univ Cambridge, Cambridge, England

[6] Univ Alberta, Edmonton, AB, Canada

[7] George Washington Univ, Washington, DC USA

[8] INSEAD, Fontainebleau, France

[9] Grenoble Ecole Management, Grenoble, France

[10] Univ Penn, Philadelphia, PA USA

[11] Northwestern Univ, Kellogg Sch Management, Evanston, IL USA

[12] Monash Univ, Melbourne, Vic, Australia

来源：

JOURNAL OF MANAGEMENT INQUIRY | 2024年 / 33卷 / 03期

关键词：

MANAGEMENT; TECHNOLOGY; OPPORTUNITIES; KNOWLEDGE; CHATGPT; AI;

D O I：

10.1177/10564926231219622

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

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.

引用

页码：207 / 229

页数：23

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