Human‐AI Co‐Creativity: Does ChatGPT Make Us More Creative?

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Title: Human‐AI Co‐Creativity: Does ChatGPT Make Us More Creative?
Authors: Medeiros, Kelsey1 (AUTHOR), Cropley, David H.2,3 (AUTHOR) david.cropley@unisa.edu.au, Marrone, Rebecca L.3 (AUTHOR), Reiter‐Palmon, Roni4 (AUTHOR)
Source: Journal of Creative Behavior. Jun2025, Vol. 59 Issue 2, p1-10. 10p.
Subject Terms: *Generative artificial intelligence, *Performance technology, *Divergent thinking, *Knowledge base, ChatGPT, Regression analysis
Abstract: Much has been made of the apparent capacity for creativity of generative AI. However, as research expands the knowledge base regarding the capabilities and performance of this technology, the prevailing view is shifting away from "AI is creative" and towards a more balanced model of Human‐AI co‐creativity. Nevertheless, even this paradigm may be impacted by untested assumptions: for example, that generative AI will boost human performance on idea generation tasks. To test that assumption this study primed subjects with lists of words purportedly either from a human or from ChatGPT, and of varying degrees of creativity. Subjects then completed the Divergent Association Task (DAT). The results of this study found no evidence of any difference in divergent thinking resulting from either the source of priming (Human/ChatGPT) or from the level of creativity of the priming (low, typical, and high), with one exception: a low‐creativity prime, believed to be from ChatGPT, resulted in lower scores on the DAT compared to other priming conditions. A subsequent regression analysis supported this result, finding only the perceived creativity of the prime to be a weak predictor of DAT scores (in addition to the expected trait of Openness). The consequences of these findings for Human‐AI co‐creativity are discussed. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Creative Behavior 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: Human‐AI Co‐Creativity: Does ChatGPT Make Us More Creative?
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  Data: *<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Performance+technology%22">Performance technology</searchLink><br />*<searchLink fieldCode="DE" term="%22Divergent+thinking%22">Divergent thinking</searchLink><br />*<searchLink fieldCode="DE" term="%22Knowledge+base%22">Knowledge base</searchLink><br /><searchLink fieldCode="DE" term="%22ChatGPT%22">ChatGPT</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink>
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  Data: Much has been made of the apparent capacity for creativity of generative AI. However, as research expands the knowledge base regarding the capabilities and performance of this technology, the prevailing view is shifting away from "AI is creative" and towards a more balanced model of Human‐AI co‐creativity. Nevertheless, even this paradigm may be impacted by untested assumptions: for example, that generative AI will boost human performance on idea generation tasks. To test that assumption this study primed subjects with lists of words purportedly either from a human or from ChatGPT, and of varying degrees of creativity. Subjects then completed the Divergent Association Task (DAT). The results of this study found no evidence of any difference in divergent thinking resulting from either the source of priming (Human/ChatGPT) or from the level of creativity of the priming (low, typical, and high), with one exception: a low‐creativity prime, believed to be from ChatGPT, resulted in lower scores on the DAT compared to other priming conditions. A subsequent regression analysis supported this result, finding only the perceived creativity of the prime to be a weak predictor of DAT scores (in addition to the expected trait of Openness). The consequences of these findings for Human‐AI co‐creativity are discussed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Creative Behavior 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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      – Type: doi
        Value: 10.1002/jocb.70022
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      – Code: eng
        Text: English
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      – SubjectFull: Generative artificial intelligence
        Type: general
      – SubjectFull: Performance technology
        Type: general
      – SubjectFull: Divergent thinking
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      – SubjectFull: Knowledge base
        Type: general
      – SubjectFull: ChatGPT
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      – SubjectFull: Regression analysis
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      – TitleFull: Human‐AI Co‐Creativity: Does ChatGPT Make Us More Creative?
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            NameFull: Medeiros, Kelsey
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            NameFull: Cropley, David H.
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            NameFull: Marrone, Rebecca L.
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            NameFull: Reiter‐Palmon, Roni
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            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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