Core Viewpoint - The emergence and iteration of AI tools have significantly lowered the barriers to artistic creation, but the resulting works are often highly homogeneous, lacking in originality and depth, indicating a need for innovation in algorithms, model construction, and user education [1] Group 1: Algorithm Innovation - AI art creation currently excels at mimicking existing works but struggles with conveying deeper emotional truths, as it lacks the ability to experience life and emotions [3][4] - To enhance the "spirit" of AI art, significant algorithmic innovations are required, focusing on understanding human life logic and aesthetic principles [4] - A new world model is needed for AI that comprehensively learns and understands the physical world and human social practices, enabling it to grasp the intrinsic relationship between life and art [4] Group 2: Style Innovation - AI-generated artworks often exhibit stylistic homogeneity due to the inherent limitations of current models, which excel at replicating existing styles rather than innovating [5][6] - The lack of artistic knowledge among AI users contributes to this issue, as many users rely on vague and generalized prompts, leading to uniform outputs [6][7] - To address this, AI developers should create models with enhanced style innovation capabilities and guide users in developing their unique artistic styles [7] Group 3: Enhancing Originality - Originality in AI art is distinct from style; it refers to the unique innovation in form or content, which current AI algorithms struggle to achieve [8][9] - Users must actively engage in the creative process, drawing from personal experiences and insights to foster originality in their AI-generated works [9][10] - A structured mechanism for originality should be established, emphasizing the importance of user involvement in selecting and refining AI-generated outputs to ensure they reflect unique artistic visions [10]