Intuitive judgements towards artificial intelligence verdicts of moral transgressions.

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Title: Intuitive judgements towards artificial intelligence verdicts of moral transgressions.
Authors: Liu, Yuxin, Moore, Adam
Source: British Journal of Social Psychology. Jul2025, Vol. 64 Issue 3, p1-26. 26p.
Subjects: Intuition, Decision support systems, Research funding, Prejudices, Professional ethics, Artificial intelligence, Attitudes toward computers, LGBTQ+ people, Ethics, Experimental design, Ethical decision making, Trust, Judgment (Psychology), Practical politics, User interfaces
Abstract: Automated decision‐making systems have become increasingly prevalent in morally salient domains of services, introducing ethically significant consequences. In three pre‐registered studies (N = 804), we experimentally investigated whether people's judgements of AI decisions are impacted by a belief alignment with the underlying politically salient context of AI deployment over and above any general attitudes towards AI people might hold. Participants read conservative‐ or liberal‐framed vignettes of AI‐detected statistical anomalies as a proxy for potential human prejudice in the contexts of LGBTQ+ rights and environmental protection, and responded to willingness to act on the AI verdicts, trust in AI, and perception of procedural fairness and distributive fairness of AI. Our results reveal that people's willingness to act, and judgements of trust and fairness seem to be constructed as a function of general attitudes of positivity towards AI, the moral intuitive context of AI deployment, pre‐existing politico‐moral beliefs, and a compatibility between the latter two. The implication is that judgements towards AI are shaped by both the belief alignment effect and general AI attitudes, suggesting a level of malleability and context dependency that challenges the potential role of AI serving as an effective mediator in morally complex situations. [ABSTRACT FROM AUTHOR]
Copyright of British Journal of Social 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: Intuitive judgements towards artificial intelligence verdicts of moral transgressions.
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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Yuxin%22">Liu, Yuxin</searchLink><br /><searchLink fieldCode="AR" term="%22Moore%2C+Adam%22">Moore, Adam</searchLink>
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– Name: Abstract
  Label: Abstract
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  Data: Automated decision‐making systems have become increasingly prevalent in morally salient domains of services, introducing ethically significant consequences. In three pre‐registered studies (N = 804), we experimentally investigated whether people's judgements of AI decisions are impacted by a belief alignment with the underlying politically salient context of AI deployment over and above any general attitudes towards AI people might hold. Participants read conservative‐ or liberal‐framed vignettes of AI‐detected statistical anomalies as a proxy for potential human prejudice in the contexts of LGBTQ+ rights and environmental protection, and responded to willingness to act on the AI verdicts, trust in AI, and perception of procedural fairness and distributive fairness of AI. Our results reveal that people's willingness to act, and judgements of trust and fairness seem to be constructed as a function of general attitudes of positivity towards AI, the moral intuitive context of AI deployment, pre‐existing politico‐moral beliefs, and a compatibility between the latter two. The implication is that judgements towards AI are shaped by both the belief alignment effect and general AI attitudes, suggesting a level of malleability and context dependency that challenges the potential role of AI serving as an effective mediator in morally complex situations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of British Journal of Social 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/bjso.12908
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      – Code: eng
        Text: English
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        PageCount: 26
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    Subjects:
      – SubjectFull: Intuition
        Type: general
      – SubjectFull: Decision support systems
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Prejudices
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      – SubjectFull: Professional ethics
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      – SubjectFull: Artificial intelligence
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      – SubjectFull: Attitudes toward computers
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      – SubjectFull: LGBTQ+ people
        Type: general
      – SubjectFull: Ethics
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      – SubjectFull: Experimental design
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      – SubjectFull: Ethical decision making
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      – SubjectFull: Trust
        Type: general
      – SubjectFull: Judgment (Psychology)
        Type: general
      – SubjectFull: Practical politics
        Type: general
      – SubjectFull: User interfaces
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      – TitleFull: Intuitive judgements towards artificial intelligence verdicts of moral transgressions.
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            NameFull: Liu, Yuxin
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            NameFull: Moore, Adam
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              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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