Ji Ren

Date of Award

2024

Document Type

Thesis - Open Access

Degree Name

Master of Arts (MA)

Department

Contemporary Art

First Advisor

Zhang Gan

Abstract

From 1763 when Thomas Bayes developed a framework to infer event probabilities, to the end of 2022 when the world-renowned AI research laboratory Open AI launched Chat GPT, a language model based on AI technology, statistical computing-based AI has revolutionized human life. AI image synthesis can simulate the processes and methods of human painting through machine learning, deep learning, and other methods, thereby generating high-fidelity images. There is growing concern about how AI image synthesis will affect the art world as it advances. The art market could be reimagined, authorship and creativity concepts challenged, and traditional artistic practices disrupted by this technology. During this process, AI image synthesis can not only improve the efficiency and accuracy of drawing but also reduce costs and time, thereby influencing the market pattern of the graphic design industry. As a new art category, AI art is undergoing an evolution from imitating traditional art media to being an independent art medium. Provide insights into the opportunities and challenges presented by this technology by examining the effects of AI image synthesis. Artists can learn more about how AI can help or hurt them in their creative process and think about new ways to work with AI systems. In addition, this study will contribute to a broader discussion of AI ethics and copyright concerns in the art industry.

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