Evidence map›Paper›PMID 40764253›Full record

ReviewPsyCh journal2025

Artificial Intelligence Reshapes Creativity: A Multidimensional Evaluation.

Chenchen Zhang, Yong Shao, Yuan Yuan, Wangbing Shen

Registry-linked trialAbstract readReview
In one paragraph

Review in PsyCh journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07693803 (The Effect of Artificial Intelligence Integration Timing on Group Brainstorming and Ideation in Undergraduate Students), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07693803 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

The Effect of Artificial Intelligence Integration Timing on Group Brainstorming and Ideation in Undergraduate Students: A Randomized Controlled Trial

TypeinterventionalSponsorMcMaster UniversityRan2026 to 2026Enrolled16ConditionsCreativityArmsArtificial Intelligence First (Early Integration), Artificial Intelligence Last (Late Integration)
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Chenchen ZhangSchool of Philosophy, Nanjing University, Nanjing, China.
Yong ShaoSchool of Government, Nanjing University, Nanjing, China.
Yuan YuanSchool of Special Education, Nanjing Normal University of Special Education, Nanjing, China.
Wangbing ShenSchool of Education Science, Anhui Normal University, Wuhu, China.ORCID https://orcid.org/0000-0002-0778-2549

Funding

National Social Science Foundation of China 20BXW118
6 · The paper itself

Abstract

Artificial intelligence (AI) is reshaping creativity by challenging its long-held status as a uniquely human faculty. This study uses bibliometric analysis to reveal AI's evolution from a passive instrument to an active co-creator that amplifies human intuition and expands creative possibilities. We highlight how AI-driven evaluative frameworks offer more objective, scalable, and inclusive assessments of creativity, disrupting bias-prone traditional methods. Also, this transformation raises pressing ethical and legal concerns, particularly regarding authorship, intellectual property, and recognition of machine-generated outputs. By mapping these tensions and opportunities, the study provides a critical foundation for rethinking creativity in the age of human-machine collaboration. Our findings point toward an urgent need for new conceptual models that align innovation with ethical and societal responsibility.

Indexed as

Artificial IntelligenceCreativityBibliometricsHumansartificial intelligencecreativityevaluationhuman–machine collaboration

Identifiers

PMID40764253
PMCPMC12702588

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.