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Psychology needs... an AI revolution.

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Bibliographic Details
Title: Psychology needs... an AI revolution.
Authors: Cummins, Jamie (AUTHOR)
Source: Psychologist. Mar2026, p18-21. 4p. 1 Color Photograph.
Subjects: Language models, Research methodology, Research protocols, Psychology, Computational intelligence, Statistical reliability
Abstract: The article discusses the ongoing integration of large language models (LLMs) in psychology, highlighting both their current applications and the potential pitfalls associated with their use. While LLMs are reshaping research practices by assisting in tasks such as data collection and analysis, the author argues that the field must address issues like analytic flexibility and the reliability of findings derived from LLMs. The article emphasizes the need for a more critical approach to using LLMs in psychological research, advocating for transparent methodologies and rigorous testing to avoid repeating past mistakes in the discipline. Ultimately, it calls for an "AI revolution" in psychology that prioritizes robust scientific standards. [Extracted from the article]
Copyright of Psychologist is the property of British Psychological Society 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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Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
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PubType: Periodical
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  Data: Psychology needs... an AI revolution.
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Cummins%2C+Jamie%22">Cummins, Jamie</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Psychologist%22">Psychologist</searchLink>. Mar2026, p18-21. 4p. 1 Color Photograph.
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  Data: <searchLink fieldCode="DE" term="%22Language+models%22">Language models</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Research+protocols%22">Research protocols</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology%22">Psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+intelligence%22">Computational intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+reliability%22">Statistical reliability</searchLink>
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  Label: Abstract
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  Data: The article discusses the ongoing integration of large language models (LLMs) in psychology, highlighting both their current applications and the potential pitfalls associated with their use. While LLMs are reshaping research practices by assisting in tasks such as data collection and analysis, the author argues that the field must address issues like analytic flexibility and the reliability of findings derived from LLMs. The article emphasizes the need for a more critical approach to using LLMs in psychological research, advocating for transparent methodologies and rigorous testing to avoid repeating past mistakes in the discipline. Ultimately, it calls for an "AI revolution" in psychology that prioritizes robust scientific standards. [Extracted from the article]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Psychologist is the property of British Psychological Society 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=191465216
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  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 4
        StartPage: 18
    Subjects:
      – SubjectFull: Language models
        Type: general
      – SubjectFull: Research methodology
        Type: general
      – SubjectFull: Research protocols
        Type: general
      – SubjectFull: Psychology
        Type: general
      – SubjectFull: Computational intelligence
        Type: general
      – SubjectFull: Statistical reliability
        Type: general
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      – TitleFull: Psychology needs... an AI revolution.
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          Name:
            NameFull: Cummins, Jamie
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          Dates:
            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 09528229
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            – TitleFull: Psychologist
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