THE THEORETICAL FRAMEWORK OF THE ARTIFICIAL INTELLIGENCE (AI) CHALLENGES IN THE JEWELLERY INDUSTRY
DOI:
https://doi.org/10.24191/jca.v2i2.8729Keywords:
Theoretical framework, Jewellery Design, Digitalization, Generative AIAbstract
Jewellery design is both an artistic and technical practice, combining craftsmanship, creativity, and cultural expression. Rooted in traditional techniques such as stone setting and metallurgy, it continues to evolve through contemporary styles while balancing functionality, aesthetics, and identity. Recent advancements in artificial intelligence (AI) have introduced new opportunities in this field, particularly as a co-assistant in concept exploration, storytelling, and experimentation. Generative AI enables efficiency in the early stages of design by transforming sketches into 2D or 3D renderings, accelerating decision- making, and supporting cultural translation. However, current research on AI in jewellery design remains limited, with a predominant focus on technological applications and little attention to emotional, ethical, or cultural dimensions. Examining how the incorporation of AI impacts authenticity, professionalism, and heritage in jewellery creation, requires interdisciplinary and regionally informed research to ensure responsible adoption. Ultimately, while AI enhances creativity and efficiency, the human touch remains indispensable for imparting jewellery with cultural meaning, emotional value, and identity.
References
Alayar, M., Alrashaidi, E., & Alrashidi, N. (2024). The impact of technology on creativity of metal jewelry design. مجلة بحوث التربية النوعية, 2024(80), 0. https://doi.org/10.21608/mbse.2023.245856.1393
Casakin, H., & Wodehouse, A. (2021). A Systematic review of design creativity in the Architectural Design Studio. Buildings, 11(1), 31. https://doi.org/10.3390/buildings11010031
Comploi et al, (2020) "Systems and Methods for Generating Jewelry Designs and Models Using Machine Learning, PCT/US2021/073106
Coşkun, M. (2024). Synthesis of art and technology. In Advances in media, entertainment and the arts (AMEA) book series (pp. 130–138).
Ferreira, T. M., Almeida, H. A., & Bártolo, P. J., I. Campbell (2013). Additive Manufacturing and Design Strategies for Customized Jewellery Production. International Conference on Competitive Manufacturing. http://conferences.sun.ac.za/index.php/doie/coma13/paper/viewFile/480/339
Ghani, E. K., Ariffin, N., & Sukmadilaga, C. (2022). Factors influencing artificial intelligence adoption in publicly listed manufacturing companies: A technology, organisation, and environment approach. International Journal of Applied Economics Finance and Accounting, 14(2), 108–117. https://doi.org/10.33094/ijaefa.v14i2.667
https://doi.org/10.4018/979-8-3693-1950-5.ch007
Lyu, Y., Shi, M., Zhang, Y., & Lin, R. (2023). From Image to Imagination: Exploring the Impact of Generative AI on Cultural Translation in Jewelry Design. Sustainability, 16(1), 65. https://doi.org/10.3390/su16010065
Lyu, Y., Shi, M., Zhang, Y., & Lin, R. (2023). From Image to Imagination: Exploring the Impact of Generative AI on Cultural Translation in Jewelry Design. Sustainability, 16(1), 65. https://doi.org/10.3390/su16010065
Magee, M. D. (2024). Generative artificial intelligence as a tool for jewelry design. Gems & Gemology, 60(3), 264–275. Gemological Institute of America. https://www.gia.edu/gems-gemology/fall-2024-artificial-intelligence-in-jewelry-design
Müller, V. C., & Meyer, T. (2025). AI as a co-creator and a design material: Transforming the design process. Design Studies, 92, 101164. https://doi.org/10.1016/j.destud.2025.101164
Pedroso, T. C., Del Ser, J., & Díaz-Rodríguez, N. (2022). Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation. In Lecture notes in computer science (pp. 168–187). https://doi.org/10.1007/978-3-031-14463-9_11
Rajili, N. a. M., Olander, E., & Warell, A. (2014). Characteristics of Jewellery Design: An Initial review. In Smart innovation, systems and technologies (pp. 613–619). https://doi.org/10.1007/978-81-322-2229-3_52
Roszelan, A.I., (2025) Readiness for Artificial Intelligence Adoption in Malaysian Manufacturing Companies. Journal of Information Technology Management, 17(1), 1-13. https://doi.org/10.22059/jitm.2025.99920
Xue,Z (2024).AI-Assisted jewelry design: A Perfect Integration of Creativity and Efficiency. Frontiers in Art Research, 6(12). https://doi.org/10.25236/far.2024.061211
Yang, Z., Zhang, W., Liu, H., & Jiang, H. (2022) Co-creation interaction framework and its application for intelligent design system. International Journal of Design Creativity and Innovation, 10(2), 123–140.
Zhou, J., Yao, J., Kim, Y., & Dow, S. (2024) Understanding nonlinear collaboration between human and AI agents: A co-design framework for creative design. arXiv preprint arXiv:2401.07312. https://arxiv.org/abs/2401.07312
Zhu, Q., & Luo, J. (2022). Generative transformers for Design Concept generation. Journal of Computing and Information Science in Engineering, 1–61. https://doi.org/10.1115/1.4056220
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