AI in Teams (Research on Managing Groups and Teams)

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AI in Teams (Research on Managing Groups and Teams)

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  • 製本 Hardcover:ハードカバー版/ページ数 316 p.
  • 言語 ENG
  • 商品コード 9781836623571
  • DDC分類 330

Full Description

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.

Contents

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

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