The field of artificial intelligence (AI) has revolutionized the generation of visual imagery, resulting in the production of remarkably realistic and esthetically pleasing content. This study delves into the current landscape of human–AI collaboration in visual imagery creation, offering insights into its development, challenges, and future prospects. Through an extensive literature review encompassing research initiatives and industry applications, the research aims to accumulate knowledge that can advance best practices and enhance original design output through the integration of human input and control systems. The study seeks to scrutinize the diverse ways in which humans and AI can collaborate in the creation of visual imagery. It examines the impact of this collaboration on the creative process while also addressing the ethical questions it raises. Additionally, the review process elucidates the principal obstacles and constraints impeding effective human–AI collaboration in visual imagery production, emphasizing the need for clarity in AI-generated graphics, explainability, and mitigation of bias. By explicitly recognizing the implications and limitations of the research methodology, this abstract offers a clearer perspective on the study's scope and objectives.