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Validity and reliability of the Chinese version of Threats of Artificial Intelligence Scale (TAI) in Chinese adults

With the outbreak of the COVID-19 pandemic, artificial intelligence (AI) has been widely used in fields such as medical treatment, while the threat of artificial intelligence has also received extensive attention. However, this topic has been only limitedly explored in China. To provide a measuremen...

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Autores principales: Cai, Jie, Xu, Zixuan, Sun, Xiaoning, Guo, Xiaojun, Fu, Xurong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942030/
https://www.ncbi.nlm.nih.gov/pubmed/36809415
http://dx.doi.org/10.1186/s41155-023-00247-1
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author Cai, Jie
Xu, Zixuan
Sun, Xiaoning
Guo, Xiaojun
Fu, Xurong
author_facet Cai, Jie
Xu, Zixuan
Sun, Xiaoning
Guo, Xiaojun
Fu, Xurong
author_sort Cai, Jie
collection PubMed
description With the outbreak of the COVID-19 pandemic, artificial intelligence (AI) has been widely used in fields such as medical treatment, while the threat of artificial intelligence has also received extensive attention. However, this topic has been only limitedly explored in China. To provide a measurement tool for AI threat research in China, this study aimed to examine the validity and reliability of the Threats of Artificial Intelligence Scale (TAI) in two Chinese samples of adults (N1 = 654, N2 = 1483). Results of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) suggested that the one-factor model of TAI as the best fitting model. Furthermore, the Chinese TAI was significantly related to Positive and Negative Affect Scale and Self-Rating Anxiety Scale, proving good criterion-related validity of the Chinese TAI. In sum, this study suggested the Chinese version of the TAI as a reliable and effective tool in assessing AI threat in the Chinese context. Limitations and future directions are discussed.
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spelling pubmed-99420302023-02-21 Validity and reliability of the Chinese version of Threats of Artificial Intelligence Scale (TAI) in Chinese adults Cai, Jie Xu, Zixuan Sun, Xiaoning Guo, Xiaojun Fu, Xurong Psicol Reflex Crit Research With the outbreak of the COVID-19 pandemic, artificial intelligence (AI) has been widely used in fields such as medical treatment, while the threat of artificial intelligence has also received extensive attention. However, this topic has been only limitedly explored in China. To provide a measurement tool for AI threat research in China, this study aimed to examine the validity and reliability of the Threats of Artificial Intelligence Scale (TAI) in two Chinese samples of adults (N1 = 654, N2 = 1483). Results of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) suggested that the one-factor model of TAI as the best fitting model. Furthermore, the Chinese TAI was significantly related to Positive and Negative Affect Scale and Self-Rating Anxiety Scale, proving good criterion-related validity of the Chinese TAI. In sum, this study suggested the Chinese version of the TAI as a reliable and effective tool in assessing AI threat in the Chinese context. Limitations and future directions are discussed. Springer International Publishing 2023-02-21 /pmc/articles/PMC9942030/ /pubmed/36809415 http://dx.doi.org/10.1186/s41155-023-00247-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Cai, Jie
Xu, Zixuan
Sun, Xiaoning
Guo, Xiaojun
Fu, Xurong
Validity and reliability of the Chinese version of Threats of Artificial Intelligence Scale (TAI) in Chinese adults
title Validity and reliability of the Chinese version of Threats of Artificial Intelligence Scale (TAI) in Chinese adults
title_full Validity and reliability of the Chinese version of Threats of Artificial Intelligence Scale (TAI) in Chinese adults
title_fullStr Validity and reliability of the Chinese version of Threats of Artificial Intelligence Scale (TAI) in Chinese adults
title_full_unstemmed Validity and reliability of the Chinese version of Threats of Artificial Intelligence Scale (TAI) in Chinese adults
title_short Validity and reliability of the Chinese version of Threats of Artificial Intelligence Scale (TAI) in Chinese adults
title_sort validity and reliability of the chinese version of threats of artificial intelligence scale (tai) in chinese adults
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942030/
https://www.ncbi.nlm.nih.gov/pubmed/36809415
http://dx.doi.org/10.1186/s41155-023-00247-1
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