AI in Teams
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- Description
- Contents
- Reviews
- About
The current wave of Artificial Intelligence (AI) has seemingly reached a tipping point where it is having a real and perceived impact on work and education. The societal impact of the development, use, and recovery from AI is growing, be it from the increase in energy required to create and maintain AIs, the psychological cost of creation, or bias being built into algorithms.
In this exciting and dynamic time, AI in Teams engages various disciplines in a conversation of how AI is affecting teamwork, as a tool, as a teammate, or both. Leading scholars on AI and teams whose research has explicit implications for how we should grapple with AI for productive, satisfying, and ethical teamwork, provide chapters discussing the various aspects of this problem. Authors draw on expertise from psychology and management, but also from computer science, communication, sociology, and information science. This work is valuable for team scholars who want to engage in learning about the possible impacts of AI, and AI scholars who want to learn about how AI can exist within teams.
The Research on Managing Groups and Teams series provides a forum for truly novel ideas and emerging lines of inquiry across many group-related topics. Its multidisciplinary approach invites both contributors and readers from across the social sciences - from management to psychology to sociology to communications, and more - allowing for a broad-based conversation not limited to one or two disciplinary norms or perspectives.
Chapter 1. Introduction: Artificial Intelligence in Teams; Susannah B. F. Paletz and Samantha R. Dubrow
- Part 1: AI, Teams, and Trust
- Chapter 2. Active Trust Management for Successful Human-Robot Teaming: Moving from a Trust Repair to a Trust Satisficing Perspective; Nicola Webb and Edmund R. Hunt
- Chapter 3. Trust in Human-Agent Teams: Temporal, Multilevel, and Multimodal Perspectives; Jessica L. Wildman, Meredith Carroll, Amanda L. Thayer, Kendall Carmody, Daniel Nguyen, Mohammed Akib, Arianna Addis, Cherrise Ficke, and Valerie Tuccillo Robbins-Roth
- Part 2: AI and Team Processes
- Chapter 4. Artificial Intelligence (AI) in the Team Meeting Landscape; Joseph A. Allen, Marvin Grabowski, Matthew S. Thiese, and Emilee Eden
- Chapter 5. A Time-Saving Dishwasher: AI’s Role in Team Creative Processes; Kelsey E. Medeiros, Rebecca L. Marrone, and Roni Reiter-Palmon
- Part 3: AI and Team Cognition
- Chapter 6. AI-Powered Dynamic Hybrid Teaming; Adam Fouse, Gabriel Ganberg, Sylvain Bruni, Svitlana Volkova, Kara L. Orvis, and Zachary Klinefelter
- Chapter 7. Operationalizing and Optimizing Human-Agent Teaming for Knowledge Work; Aimee A. Kane, Madeline M. Diep, Adam A. Porter, and Susannah B. F. Paletz
- Part 4: AI in Context
- Chapter 8. Proactive Robots in Human-Robot Action Teams; Rabeya Jamshad, Susan Simkins, and Laurel D. Riek
- Chapter 9. AI and Design Collaboration: Not a Full Member (Yet); Mark A. Clark and Daniel Graff
- Chapter 10. Participatory AI: Children and Families Co-Designing and Collaborating with AI Systems; Elizabeth Bonsignore, Dinesh Kumar Nanduri, Elana Blinder, Yi-Hsieh Lin, Utkarsh Dwivedi, Mona Leigh Guha, Medha Tare, and Hernisa Kacorri
- Chapter 11. “It’s Your Turn to Carry the AI, Soldier!” Artificial Intelligence and the Challenges of Introducing New Technologies to Tactical Military Teams; Samuel Canter
- Part 5: Reflections on AI in Teams
- Chapter 12. Human-Animal Team Modeling for More Effective Human-Agent Teaming Design; Heather C. Lum, Selena Evans, Rajeswari Jayakumar, Laura H. Inderberg, and Sreya Suresh
- Chapter 13. The Future of AI in Teams; Susannah B. F. Paletz and Samantha R. Dubrow
“What a timely book! If you want to know about how AI will influence team dynamics—this is your book! It’s a must read for those in the team science space. Bravo Susannah and Samantha for assembling this gem of a book.”
"While much current research on AI focuses on human-AI interaction, individual productivity, or broad societal implications, this volume makes a timely and important contribution by placing teams at the center of the conversation. Bringing together multidisciplinary perspectives, it examines how AI reshapes team processes, cognition, trust, and context, while also showing how teams shape the use and meaning of AI. I welcome this valuable contribution to the emerging sociotechnical study of AI in collective work."
“Regardless of whether you consider AI a tool or a teammate, this book offers numerous examples of how insights from the science of teamwork can be applied to use AI in ways that complement and augment human collaborators. Importantly, these examples integrate diverse disciplines and highlight the value of mindful integration and principled innovation, offering a much-needed optimistic perspective on AI in teams.”
Susannah B. F. Paletz is an Associate Professor at the University of Maryland College of Information Studies, USA.
Samantha R. Dubrow is a Lead Human-Centered Engineering Researcher at The MITRE Corporation, USA.