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Ouyang Shuangping

Norfarizah Mohd Bakhir

Lyu Ziwei

Xu Yang

Abstract

This study provides a comprehensive bibliometric review of Artificial Intelligence Generated Content (AIGC) applications in design and art, analysing publication trends from 2022 to 2024. Using data from the SCOPUS database, the study examines 472 publications, identifying key themes such as generative models, large language processing, and educational applications. The findings reveal a sharp increase in research interest, with prominent contributions from the United States and China. Major journals in this field include Documentation, Information & Knowledge and Computers and Education: Artificial Intelligence. This review highlights current research trajectories and underscores the need for ethical guidelines and improved models to ensure responsible integration of AIGC in creative industries. The insights gained here aim to inform future research directions, contributing to the sustainable and innovative application of AIGC in design and art.

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