Envisioning a better world of human and technology: theoretical and empirical considerations to connect communication scholarship to ethical technology design

Xu, Yifan

doi:10.1080/23808985.2023.2255586

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2024

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Cited by 3 publications

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Accomplishing Robotic Autonomy: The Complexities of Situated Practices and Agency in The Laboratory

2024

Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction

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Accomplishing Robotic Autonomy: The Complexities of Situated Practices and Agency in The Laboratory

2024

Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction

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Modeling of Small Groups in Computational Sciences: A Prospecting Review

Jackson

2024

Small Group Research

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Small group researchers are increasingly called to engage the computational sciences. One challenge in answering this call is the lack of information concerning what the study of small groups looks like in these domains. This paper addresses this challenge through a prospecting review of research that computationally models or trains computers to learn small group and team behavior and is published in computing disciplines from 2016 to 2023. This review investigated how groups were modeled, for what purpose, what group elements were modeled, and whether social science informed the model design. Qualitative methods were used to analyze 119 published articles. Suggestions are presented for increasing the influence of small group research on the computational modeling of groups and teams, particularly for researchers with limited access to large research teams or resources. This review helps bridge the gap between small group research and computational sciences to advance the understanding of small groups and teams.

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Some Emerging Communication Roles for Generative AI

Jackson

2024

The Role of Generative AI in the Communication Classroom

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Understanding generative AI (GAI) from a communication perspective is challenging given the breadth of issues and perspectives that have emerged. To help distill these ideas and focus our conversation, this chapter proposes thinking about GAI in terms of the different communication roles that it fulfills. The roles of expert, copilot, interlocutor, and channel are presented with illustrations of each role taken from other contributions to this volume. Across the academy, scholars have mobilized to understand generative artificial intelligence (GAI) and foresee how GAI may alter the horizon of higher education.

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Envisioning a better world of human and technology: theoretical and empirical considerations to connect communication scholarship to ethical technology design

Cited by 3 publications

References 62 publications

Accomplishing Robotic Autonomy: The Complexities of Situated Practices and Agency in The Laboratory

Accomplishing Robotic Autonomy: The Complexities of Situated Practices and Agency in The Laboratory

Modeling of Small Groups in Computational Sciences: A Prospecting Review

Some Emerging Communication Roles for Generative AI

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