Collection
Special Issue on "The dark sides of AI"
A collection addressing the downsides of AI technology in digital networked business. This collection offers six papers that focus on challenges of AI technology. In the twenty-first century, artificial intelligence (AI) is an extremely disruptive innovation that has attracted considerable attention from practitioners and academics. AI provides extensive, and unprecedented, opportunities for fundamental changes and extensive upgrades across many industries. This disruptive technology makes incredible things possible, such as autonomous vehicles, facial recognition payment, guidance robots, etc.
Editors
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Xusen Cheng
Renmin University of China, Beijing, China xusen.cheng@ruc.edu.cn
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Xiao Lin
Nanjing University of Aeronautics and Astronautics, Nanjing, China qinxcs@nuaa.edu.cn
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Xiao-Liang Shen
Wuhan University, Wuhan, China xlshen@whu.edu.cn
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Alex Zarifis
University of Nicosia, Nicosia, Cyprus View author publications alex.e.zarifis@gmail.com
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Jian Mou
Jian Mou
Articles (7 in this collection)
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The rise of artificial intelligence – understanding the AI identity threat at the workplace
Authors (first, second and last of 4)
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Prick the filter bubble: A novel cross domain recommendation model with adaptive diversity regularization
Authors (first, second and last of 5)
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The dark sides of AI personal assistant: effects of service failure on user continuance intention
Authors
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Understanding users’ negative responses to recommendation algorithms in short-video platforms: a perspective based on the Stressor-Strain-Outcome (SSO) framework
Authors (first, second and last of 5)
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Categorization and eccentricity of AI risks: a comparative study of the global AI guidelines
Authors
