This study examines the structure of human-AI cooperation in the creative arts and assesses how it affects artistic expression, moral dilemmas, and audience perception. Using a descriptive methodology and additional data collecting, we take a deductive approach using interpretivist tenets. In the fields of literature, music composition, as well as visual arts, investigation reveals the complex interactions that exist between human feeling and AI’s computing power. There is a discussion of ethical issues regarding authorship, honesty, and biases with content produced by AI. Comparative case studies show different methods and results, providing information for further cooperation. The results highlight the necessity of continuous bias minimization, open attribution, enabling interdisciplinary cooperation. In the dynamic field of human-AI collaboration in the visual and performing arts, this research helps to shape ethical and inventive practices.