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Introduction
The integration of Artificial Intelligence (AI) into team environments marks a paradigm shift in organizational collaboration, redefining traditional notions of roles, communication, governance, and operations (Boussioux et al., 2024). With the increasing embeddedness of advanced AI systems, such as large language models (LLMs) and generative AI, in daily work, these technologies now perform cognitive functions, including problem-solving and decision-making, once exclusively dominated by humans (Krakowski et al., 2023). AI systems evolve from passive tools to active collaborators with the capability of learning, adapting, and even influencing team outcomes. As a result, their impact on teamwork spans industries and beyond, for both work content and contexts.
AI’s role in teamwork manifests in diverse forms: algorithmic teammates that automate routine tasks, cognitive assistants that enhance creativity and problem-solving, and autonomous agents that negotiate and coordinate with human counterparts (Seeber et al., 2020; Wang et al., 2024). Yet, this integration is not without friction. Challenges such as trust calibration, accountability gaps, and unintended biases in AI-driven decisions raise critical questions about the ethical and practical boundaries of human-AI collaboration (Choudhary et al., 2025). Moreover, as hybrid human-AI teams become the norm, the traditional structure of teams, role management and conflict resolution, and performance evaluation require re-examination (Chen et al., 2023; Dennis et al., 2023; Wu et al., 2025).
Topics of Interest
This special issue explores the multifaceted relationship between AI and human teams, examining how AI augments, challenges, or even redefines collective intelligence in collaborative settings. We seek to advance a critical understanding of AI’s impact on teams and organizations, fostering dialogue on its dual potential for both benefit and risk. We welcome research contributions addressing AI’s implications across, but not limited to, the following themes:
1. Team Structural and Governance Dynamics
- New forms and structures of hybrid human-AI teams
- AI’s role in task delegation and coordination
- AI as team members: Integration and acceptance
- AI’s impact on virtual team structures
- Algorithmic discrimination in team evaluations
2. Communication and Collaboration Dynamics
- AI-mediated communication in teamwork
- Trust dynamics in hybrid human-AI teams
- AI’s role in conflict resolution
- Mechanisms for effective human-AI collaboration
- Collaborative performance of hybrid teams
- Intragroup processes in human-AI collaboration
- Perceived threats of AI in team collaboration
3. Cognitive and Decision-Making Dynamics
- Explainable AI and team cognition
- AI’s influence on human decision-making
- Human-AI ensemble decision-making
- AI-augmented problem-solving
- Cognitive biases in AI-driven decisions
- Cognitive load in AI-supported teamwork
4. Learning and Adaptation Dynamics
- AI’s role in team learning and knowledge sharing
- AI-augmented adaptive learning in teams
- Facilitators and barriers to knowledge exchange in hybrid teams
- AI adaptation within team workflows
- Organizational adaptation to hybrid human-AI teams
5. Innovation and Creativity Dynamics
- Generative AI and human creativity in teams
- AI’s impact on team innovation processes
- AI-augmented creative problem-solving
- Innovation performance in hybrid human-AI teams
We invite scholars from diverse disciplines to contribute cutting-edge research that advances our understanding of AI’s evolving role in teamwork. Submissions should critically engage with theoretical frameworks, empirical findings, or methodological innovations to interrogate the opportunities and challenges of human-AI collaboration.
Submission Information
Submissions are made using ScholarOne Manuscripts. Registration and access are available here:
Author guidelines must be strictly followed. Please see:
Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to “Please select the issue you are submitting to”.
Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.
Key Dates
Opening date for manuscript submissions: 15 October 2025
Closing date for manuscript submissions: 15 July 2026
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