The Controversy of AI-Generated Technology in Artistic Creation

With the development of AI technology, particularly the emergence of models such as Stable Diffusion, AI-generated artworks have garnered widespread attention. The "creative" capabilities of AI rely on neural network technology, and the legality of its training data has become a focal point of controversy. Simultaneously, the issue of copyright ownership for AI-generated works urgently requires clarification. Furthermore, the impact of AI technology on traditional artistic creation, such as lowering the barriers to creation and threatening employment opportunities for practitioners, has sparked dissatisfaction among artists. This paper employs a combination of literature analysis and case studies to explore the controversies surrounding AI-generated technology in artistic creation, analyzing issues related to the legality of training data sources, copyright attribution, and its disruptive effects on traditional artistic practices. The study proposes strengthening the protection of original works, increasing transparency in AI training data sources, and establishing sound commercial use regulations for AI. These measures aim to balance public interests and individual rights, fostering harmonious development between AI technology and artistic creation.