STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Research on Innovation of Graphic Design Assisted by Artificial Intelligence
DOI: https://doi.org/10.62517/jbdc.202501301
Author(s)
Ping Lu*, Wenting Yao
Affiliation(s)
School of Design, Xi'an Technological University, Xi'an, Shaanxi, China *Corresponding Author
Abstract
Artificial intelligence (AI) is fundamentally reshaping the graphic design industry. Generative AI systems like Midjourney and Stable Diffusion empower creative generation, visual expression, and user interaction, significantly boosting design efficiency, expanding creative diversity, and enhancing personalized services. Through literature analysis, case studies, and experimental comparisons, this study identifies three core values of AI-assisted design: "efficiency revolution," "creative democratization," and "personalized services." It establishes a three-dimensional framework encompassing "technology empowerment, creative evolution, and ethical reflection." While AI applications optimize design workflows, they also face challenges including creative homogenization, technological dependency, and copyright disputes. Based on these findings, the study proposes a human-machine collaborative innovation model, emphasizing designers' transformation into "creative curators" equipped with interdisciplinary skills and AI toolchains. Future trends focus on multimodal AI integration, sustainable design, and tripartite collaboration ecosystems. This research provides a systematic framework for theoretical innovation and practical implementation in graphic design during the AI era, offering guidance for design education and industry transformation.
Keywords
Artificial Intelligence; Graphic Design; Innovation; AI Technology
References
[1] Wu Yunkai. Application of Artificial Intelligence Assisted Technology in Graphic Design. Mingri Fengshang, 2024, (07):131-133. [2] Wang Xiaomin, Li Fuquan. Research on AI-Assisted Teaching in College Graphic Design. JIANGXIAN, 2024(01):28-30. [3] Chen Yazhou. Artificial intelligence technology adoption literature review. Cooperation Economy and Technology, 2025, (06):42-45.DOI. [4] Zhang Chen. Fashion Design and Graphic Design: Brand Visual Identity as a Driving Force - Exploring the Synergistic Effects and Influences of the Two in Brand Building . Journal of Footwear Technology and Design, 2025, 5(05):18-20. [5] Zeng Yibei. AIGC Collaborative Generation. Shanghai Normal University, 2025. [6] Li Chao, Xiao Lingping, Wang Caiyin, et al.AI Empowers the Transformation of "Color Theory" Course Content from Linear Structure to Multi-Core System. Research on Printing and Digital Media Technology, 2025, (03):149-155+192.DOI. [7] Jin Xiaoneng. Design-inspired research for specific domains in the digital intelligence era. Tongji University, 2022.DOI. [8] Wang Ziqi. Artistic Reconstruction: The Transformation of Designers from "Technical Intermediaries" to "Strategic Actors". Creative and Design, 2025(03):20-26. [9] Zhang Meng. Analysis of the Current Status and Future Trends of Artificial Intelligence in Ecological Art Design. Harbin Guangsha University, 2025 Higher Education Development Forum Proceedings (Volume II). 2025:35-36.DOI. [10] Gu Fei. Metaliteracy Reconstruction: A Futurology Perspective of Generative AI and AI Agents in Teacher Development. China Education Informatization,2025,31(06): 79-88.
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