Enter the matrix: Examining the psychosocial determinants of support for a technocracy of artificial intelligence.

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Title: Enter the matrix: Examining the psychosocial determinants of support for a technocracy of artificial intelligence.
Authors: Dono, Marcos (AUTHOR), Moreno Bella, Eva (AUTHOR)
Source: Political Psychology. Feb2026, Vol. 47 Issue 1, p1-27. 27p.
Subjects: Artificial intelligence, Anomy, Psychosocial factors, Ideology, Socioeconomic factors, Decision making in political science, Technocracy
Abstract: Artificial Intelligence (AI) stands as the most transformative technology since the Industrial Revolution. As AI is integrated into different domains of life, it is likely to also permeate politics. In fact, some voices already advocate for AI to make political decisions. This paper emphasizes the necessity to delve into the psychosocial determinants shaping support for supporting a technocracy of AI (TecAI). The research aims to ascertain whether anomie, moderated by NCC and SDO, predicts support for TecAI across three studies involving Spanish participants (Ntotal = 754). The findings confirm anomie's predictive power on support of TecAI, albeit without establishing causality consistently, as anomie's condition failed to alter support for TecAI in experiments 2 and 3. However, an exploratory analysis showed a small effect of the subdimension of "breakdown of leadership" on support for TecAI in a directional test, informing future research. Moreover, NCC and SDO did not significantly moderate the anomie‐support‐for‐TecAI link. Ideology also emerged as a consistent predictor, with conservatives consistently showing more support, a finding that ought to be re‐examined and clarified. This study marks an initial empirical exploration into AI's political perceptions, hinting at the need for further investigation into this critical domain. [ABSTRACT FROM AUTHOR]
Copyright of Political Psychology is the property of Wiley-Blackwell 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.)
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  Data: Enter the matrix: Examining the psychosocial determinants of support for a technocracy of artificial intelligence.
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  Data: <searchLink fieldCode="AR" term="%22Dono%2C+Marcos%22">Dono, Marcos</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moreno+Bella%2C+Eva%22">Moreno Bella, Eva</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Political+Psychology%22">Political Psychology</searchLink>. Feb2026, Vol. 47 Issue 1, p1-27. 27p.
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  Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Anomy%22">Anomy</searchLink><br /><searchLink fieldCode="DE" term="%22Psychosocial+factors%22">Psychosocial factors</searchLink><br /><searchLink fieldCode="DE" term="%22Ideology%22">Ideology</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+factors%22">Socioeconomic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making+in+political+science%22">Decision making in political science</searchLink><br /><searchLink fieldCode="DE" term="%22Technocracy%22">Technocracy</searchLink>
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  Label: Abstract
  Group: Ab
  Data: Artificial Intelligence (AI) stands as the most transformative technology since the Industrial Revolution. As AI is integrated into different domains of life, it is likely to also permeate politics. In fact, some voices already advocate for AI to make political decisions. This paper emphasizes the necessity to delve into the psychosocial determinants shaping support for supporting a technocracy of AI (TecAI). The research aims to ascertain whether anomie, moderated by NCC and SDO, predicts support for TecAI across three studies involving Spanish participants (Ntotal = 754). The findings confirm anomie's predictive power on support of TecAI, albeit without establishing causality consistently, as anomie's condition failed to alter support for TecAI in experiments 2 and 3. However, an exploratory analysis showed a small effect of the subdimension of "breakdown of leadership" on support for TecAI in a directional test, informing future research. Moreover, NCC and SDO did not significantly moderate the anomie‐support‐for‐TecAI link. Ideology also emerged as a consistent predictor, with conservatives consistently showing more support, a finding that ought to be re‐examined and clarified. This study marks an initial empirical exploration into AI's political perceptions, hinting at the need for further investigation into this critical domain. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Political Psychology is the property of Wiley-Blackwell 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: 10.1111/pops.13048
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      – Code: eng
        Text: English
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        PageCount: 27
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      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Anomy
        Type: general
      – SubjectFull: Psychosocial factors
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      – SubjectFull: Ideology
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      – SubjectFull: Socioeconomic factors
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      – SubjectFull: Decision making in political science
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      – SubjectFull: Technocracy
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      – TitleFull: Enter the matrix: Examining the psychosocial determinants of support for a technocracy of artificial intelligence.
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              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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