Published Paper Details:

Abstract The integration of Artificial Intelligence (AI) and generative algorithms into fashion illustration is reshaping creative workflows, expanding accessibility to design tools, and challenging traditional aesthetic boundaries. This paper explores the diverse opportunities presented by AI-generated fashion illustrations across design education, product development, personalization, and sustainable innovation. Simultaneously, it critically examines ethical challenges, including authorship, originality, labor displacement, cultural appropriation, and algorithmic bias. Employing a qualitative mixed-method approach and a review of advanced AI models such as GANs, diffusion models, and transformers, the study proposes the F.A.S.H.I.O.N. AI Ethics Framework to guide responsible integration. The research contributes a globally contextualized and original taxonomy of AI in fashion illustration--an area previously under-examined in academic literature.