Artificial Intelligence and Generative Design in Visual Communication

Abstract

The rapid advancement of Artificial Intelligence and Generative Design has significantly transformed the field of visual communication by shifting creative practice from traditional manual-digital production toward algorithmic and AI-assisted design processes. This paper investigates the implications of generative AI tools in the realm of visual communication, focusing on creative practice workflow, ethical issues, authorship, copyright, aesthetic originality, cultural authenticity, and responsible design practice. The research is grounded in the view that AI is not only a technical tool but also a creative and professional force that is reshaping the identity and responsibilities of designers. The Research Onion framework was followed and a mixed-methods research design was practiced. The qualitative data were obtained from the analysis of current literature and design-related sources, and the quantitative data were obtained through a descriptive survey of 150 design students, graphic designers, visual communication designers, educators, freelancers, and creative professionals. The quantitative data were analysed using percentage method and descriptive statistics. The findings indicate that generative AI is well-known as a valuable resource for ideation, exploring visual concepts, generating images, optimizing workflows, and quickly creating design alternatives. The study, however, also highlights significant issues in terms of authorship, ownership, copyright, ethics, aesthetics and the potential loss of originality. The quantitative and qualitative results show that human creativity remains key in AI-assisted design, particularly in retaining conceptual depth, cultural authenticity, and ethical responsibility. Overall, the research suggests that generative AI should be viewed as a tool to aid, not replace, human designers. It recommends integrating AI literacy, prompt engineering, copyright awareness, and ethical design guidelines into visual communication education and professional practice.

Keywords: Artificial Intelligence, Generative Design, Visual Communication, Generative AI, Creative Workflow, Ethical Design, Copyright, Aesthetic Homogenization, Design Education, Responsible AI