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Artificial Intelligence and Groups: Effects of Attitudes and Discretion on Collaboration

  • Simon Fraser University
  • Rutgers - The State University of New Jersey, Camden
  • SUNY Buffalo
  • Université catholique de Lille

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

We theorize about human-team collaboration with AI by drawing upon research in groups and teams, social psychology, information systems, engineering, and beyond. Based on our review, we focus on two main issues in the teams and AI arena. The first is whether the team generally views AI positively or negatively. The second is whether the decision to use AI is left up to the team members (voluntary use of AI) or mandated by top management or other policy-setters in the organization. These two aspects guide our creation of a team-level conceptual framework modeling how AI introduced as a mandated addition to the team can have asymmetric effects on collaboration level depending on the team’s attitudes about AI. When AI is viewed positively by the team, the effect of mandatory use suppresses collaboration in the team. But when a team has negative attitudes toward AI, mandatory use elevates team collaboration. Our model emphasizes the need for managing team attitudes and discretion strategies and promoting new research directions regarding AI’s implications for teamwork.

Original languageEnglish
Pages (from-to)629-670
Number of pages42
JournalGroup and Organization Management
Volume48
Issue number2
DOIs
StatePublished - Apr 2023

Keywords

  • attitudes
  • group or team dynamics/processes
  • technology

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