The Impact Of AI-Generated Image On Creative Industry
Le, Ngoc (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025061723184
https://urn.fi/URN:NBN:fi:amk-2025061723184
Tiivistelmä
The thesis explores how the AI-based image generators are working in creative industries, especially in daily tasks, content creation processes of designers, fashion professionals, and marketers. The research discusses the effectiveness of these tools, the drawbacks users might experience, and ethical concerns about commercial usage.
The research is based on recent literature reviews on AI visual creativity and design methods. A mixed-methods approach is applied, integrating image production assessments, a small-scale user survey, and theme analysis to look into real-world usages.
The results of this survey reveal that creative professionals are adopting AI image generators like Midjourney, DALL·E, and Stable Diffusion in ever-growing numbers for concept and visual inspiration. This speed and economy are undoubtedly the main reasons for so many operators use such tools. However, they are also very limited in terms of quality control, the ability to control the output, and in terms of copyright and media law. Based on the survey response and literature summary, there appears to be a demand for ethical guidelines, better tool transparency, and more standardised copyright policies. Finally, as AI image generation becomes more and more important a tool in creative work, one should use it responsibly, with attention to the limitations and ethical risks.
The research is based on recent literature reviews on AI visual creativity and design methods. A mixed-methods approach is applied, integrating image production assessments, a small-scale user survey, and theme analysis to look into real-world usages.
The results of this survey reveal that creative professionals are adopting AI image generators like Midjourney, DALL·E, and Stable Diffusion in ever-growing numbers for concept and visual inspiration. This speed and economy are undoubtedly the main reasons for so many operators use such tools. However, they are also very limited in terms of quality control, the ability to control the output, and in terms of copyright and media law. Based on the survey response and literature summary, there appears to be a demand for ethical guidelines, better tool transparency, and more standardised copyright policies. Finally, as AI image generation becomes more and more important a tool in creative work, one should use it responsibly, with attention to the limitations and ethical risks.