Creative scar without generative AI: individual creativity fails to sustain while homogeneity keeps climbing
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Using ChatGPT may diminish sustained creative output and lead to content homogenization.
“Zhou’s natural and longitudinal experimental studies demonstrated that using ChatGPT may diminish sustained creative output and lead to content homogenization (Zhou et al., 2025).”
From A two-step structural equation modeling and explainable machine learning framework for understanding university students’ adoption of generative AI: balancing intrinsic motivations and perceived risks (2026) · cites this paper as Zhou et al., 2025
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- Authors
- Zhou, Y., Liu, Q., Huang, J., & Li, G.
- Affiliations
- Peking University (CN)
- Ministry of Education of the People's Republic of China (CN)
- Corresponding author
- Li, Guiquan
- Venue
- Technology in Society
- Publisher
- Elsevier BV
- Published
- 2026-03
- Volume
- 84
- Pages
- 103087
- ISSN
- 0160-791X (ISSN-L)
- OpenAlex
- W4414497210
- Semantic Scholar
- e450f202624782b984f03baa8612269e6cafdf23
- Cited by
- 24
- References
- 78
- Citations by year
- 2026: 24
- FWCI
- 25.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Technology in Society (publishedVersion)
- Funders
- National Natural Science Foundation of China (32471129)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- generative AI, ChatGPT, individual creativity, creative output, content homogeneity, AI dependency, scholarly publishing, journal rankings, creative tasks
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