Human‐<scp>AI</scp> Co‐Creativity: Does <scp>ChatGPT</scp> Make Us More Creative?

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.

Authors

Institutions

Publication Details

Journal
The Journal of Creative Behavior
Published
2025-04-18
DOI
https://doi.org/10.1002/jocb.70022
Citations
13
Primary Topic
Creativity in Education and Neuroscience
Type
article
Field-Weighted Citation Impact
27.54

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Kelsey E. Medeiros, Roni Reiter‐Palmon, Rebecca Marrone, David H. Cropley
13 citations
The Journal of Creative Behavior
Creativity in Education and Neuroscience
27.54
article

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

Kelsey E. Medeiros, Roni Reiter‐Palmon, Rebecca Marrone, David H. Cropley
article en
13 citations

Abstract

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.

The Journal of Creative BehaviorVol. 59(2)
University of Nebraska at Omaha (US), University of South Australia (AU)
University of South Australia
Openalex Percentile: Top 0%
Creativity in Education and Neuroscience
27.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.