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Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society

Author

Listed:
  • Hemant Jain

    (Gary W. Rollins College of Business, University of Tennessee – Chattanooga, Chattanooga, Tennessee 37403)

  • Balaji Padmanabhan

    (Muma College of Business, University of South Florida, Tampa, Florida 33620)

  • Paul A. Pavlou

    (C.T. Bauer College of Business, University of Houston, Houston, Texas 77204)

  • T. S. Raghu

    (W.P. Carey School of Business, Arizona State University, Tempe, Arizona 85287)

Abstract

Recent developments in artificial intelligence (AI) have increased interest in combining AI with human intelligence to develop superior systems that augment human and artificial intelligence. In this paper, augmented intelligence informally means computers and humans working together, by design, to enhance one another, such that the intelligence of the resulting system improves. Intelligence augmentation (IA) can pool the joint intelligence of humans and computers to transform individual work, organizations, and society. Notably, applications of IA are beginning to emerge in several domains, such as cybersecurity, privacy, counterterrorism, and healthcare, among others. We provide a brief summary of papers in this special section that represent early attempts to address some of the rapidly emerging research issues. We also present a framework to guide research on IA and advocate for the important implications of IA for the future of work, organizations, and society. We conclude by outlining promising research directions based on this framework for the information systems and related disciplines.

Suggested Citation

  • Hemant Jain & Balaji Padmanabhan & Paul A. Pavlou & T. S. Raghu, 2021. "Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society," Information Systems Research, INFORMS, vol. 32(3), pages 675-687, September.
    • Handle: RePEc:inm:orisre:v:32:y:2021:i:3:p:675-687
    DOI: 10.1287/isre.2021.1046
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    References listed on IDEAS

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    2. Martin Adam & Konstantin Roethke & Alexander Benlian, 2023. "Human vs. Automated Sales Agents: How and Why Customer Responses Shift Across Sales Stages," Information Systems Research, INFORMS, vol. 34(3), pages 1148-1168, September.

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