Susannah B. F. Paletz – författare

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.

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.

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.

This book presents a broad, multidisciplinary review of the factors that have been shown to or might influence sharing information on social media, regardless of its veracity. Drawing on literature from psychology, sociology, political science, communication, and information studies, the book provides a high-level framework of information sharing. The framework progresses through different categories. Information is first acquired or viewed from different sources; then, the target sharer has emotional and cognitive reactions to that information. The next categories involve motivations to share and the actual ability and perceptions of that ability to share. The greater context, such as culture, language, and social networks, also influences information sharing. Finally, the book distinguishes between genuine and non-genuine (inauthentic) actors. This text will appeal to students and especially to technical researchers looking for a social science perspective.