Understanding the Nature and Constituent Elements of Artificial Intelligence-Based Applications: A Scoping Review Research in Progress

Korosec-Serfaty, Marion; Negoita, Bogdan; Guinea, Ana Ortíz de; Vial, Grégory; Boasen, Jared; Fernández-Shaw, Juan; Léger, Pierre-Majorique

doi:10.1007/978-3-031-21707-4_23

Cited by 1 publication

(1 citation statement)

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“…Especially in this early research stage, we must highlight the fact and the perception as we dig into empirical work. Such careful research offers better foundations and may illuminate important areas for deeper examination (Korosec-Serfaty et al, 2022; Orlikowski & Iacono, 2001).…”

Section: Ai In Teams: Definitionsmentioning

confidence: 99%

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

Bezrukova

Spell

Rice

et al. 2023

Group & Organization Management

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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.

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Section: Ai In Teams: Definitionsmentioning

confidence: 99%