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How does AI surpassing humans influence public innovativeness? A multi-method empirical study.

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Title: How does AI surpassing humans influence public innovativeness? A multi-method empirical study.
Authors: Ma, Yongchao Martin, Deng, Zhongzhun
Source: Behaviour & Information Technology. Jan2025, Vol. 44 Issue 1, p102-119. 18p.
Subjects: Decision support systems, Diffusion of innovations, Data analysis, Labor productivity, Research funding, Artificial intelligence, Content analysis, Empirical research, Descriptive statistics, Motivation (Psychology), Mathematical models, Research methodology, Analysis of variance, Theory, User interfaces
Geographic Terms: China
Abstract: As AI develops, it has become more capable and efficient than humans. We investigate how AI surpassing humans in capabilities and performance (hereafter AI surpassing humans) influences public innovativeness. Based on the research of personal innovativeness motivation and expectation value theory, we propose that AI surpassing humans enhances public innovativeness. A multi-method empirical study proves our hypothesis. In Study 1, we perform textual analysis on 1.2 million tweets. We reveal that people mention more words about innovation for AI surpassing humans. In Study 2, a controlled experiment proves the main and mediating effect. Theoretically, we contribute to the research on the impact of AI and personal innovativeness. This is the first to investigate how AI surpassing humans influences public innovativeness. Meanwhile, we fill this gap in how AI impacts public innovativeness. In addition, our findings have practical implications for government and policymakers, companies, and the public. Especially for government and policymakers, we suggest they need to pay more attention to the potentially overlooked impact of AI outperforming humans on public innovativeness compared with other common techniques. Meanwhile, we point out that encouraging the public to keep human intellectual superiority may attenuate the effect of AI surpassing humans. [ABSTRACT FROM AUTHOR]
Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: As AI develops, it has become more capable and efficient than humans. We investigate how AI surpassing humans in capabilities and performance (hereafter AI surpassing humans) influences public innovativeness. Based on the research of personal innovativeness motivation and expectation value theory, we propose that AI surpassing humans enhances public innovativeness. A multi-method empirical study proves our hypothesis. In Study 1, we perform textual analysis on 1.2 million tweets. We reveal that people mention more words about innovation for AI surpassing humans. In Study 2, a controlled experiment proves the main and mediating effect. Theoretically, we contribute to the research on the impact of AI and personal innovativeness. This is the first to investigate how AI surpassing humans influences public innovativeness. Meanwhile, we fill this gap in how AI impacts public innovativeness. In addition, our findings have practical implications for government and policymakers, companies, and the public. Especially for government and policymakers, we suggest they need to pay more attention to the potentially overlooked impact of AI outperforming humans on public innovativeness compared with other common techniques. Meanwhile, we point out that encouraging the public to keep human intellectual superiority may attenuate the effect of AI surpassing humans. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/0144929X.2024.2311742
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      – Code: eng
        Text: English
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        StartPage: 102
    Subjects:
      – SubjectFull: Decision support systems
        Type: general
      – SubjectFull: Diffusion of innovations
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Labor productivity
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Content analysis
        Type: general
      – SubjectFull: Empirical research
        Type: general
      – SubjectFull: Descriptive statistics
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      – SubjectFull: Motivation (Psychology)
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      – SubjectFull: Mathematical models
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      – SubjectFull: Research methodology
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      – SubjectFull: Analysis of variance
        Type: general
      – SubjectFull: Theory
        Type: general
      – SubjectFull: User interfaces
        Type: general
      – SubjectFull: China
        Type: general
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      – TitleFull: How does AI surpassing humans influence public innovativeness? A multi-method empirical study.
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              Text: Jan2025
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