DREAMS AND DATA: GHIBLI-STYLE ART, COPYRIGHT, AND THE RISE OF VIRAL AI IMAGERY


Dinesh Deckker, Subhashini Sumanasekara
1. Wrexham University, United Kingdom, 2. University of Gloucestershire, United Kingdom
Abstract
This review explores the relationship between Ghibli-style visual characteristics, copyright regulations, and viral phenomena in the context of modern generative artificial intelligence (AI). This research examines the ethical, legal, and technological implications of the new wave of Studio Ghibli-inspired AI-generated visuals, focusing on their popularity. The research employed a narrative review method to synthesize findings from computer science, law, media studies, and art theory literature. Research shows that Ghibli-style content created by AI raises important copyright challenges while posing considerable ethical questions about ownership, creator identification, and the pressure on computational systems due to its widespread popularity. The paper examines theoretical explanations that link authorship with labor, as well as nostalgia dynamics that activate digital virality. The review proposes future research approaches and advocates for modern legal structures, moral guidelines, and collective leadership mechanisms to safeguard artistic quality in our age of automated creative production.
Keywords: Ghibli-style, AI-generated art, copyright, viral imagery, generative AI, ChatGPT, GPU overload, digital aesthetics, intellectual property, ethical AI
Journal Name :
International Journal of Global Economic Light (JGEL)

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Published on : 2025-05-31

Vol : 11
Issue : 5
Month : May
Year : 2025
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