This chapter underscores the pressing need for a human-centered framework in generative AI, emphasizing the transition from mere technical progress to fostering human empowerment, trust, and societal well-being. It explores the foundational transformation introduced by generative models and its ethical implications, while defining the emergence and principles of Human-Centric Generative AI (HCGAI) through a structured taxonomy. The chapter introduces a formal methodology to integrate human values and control into model design via mathematical modeling, and compares participatory, value-sensitive, and human-in-the-loop design approaches. It further proposes pragmatic frameworks for scalable development using Agile and GenAIOps, alongside comprehensive evaluation strategies focused on quality, user experience, and ethical integrity. Advanced mechanisms addressing bias, fairness, and explainability are analyzed across the AI lifecycle. Through detailed case studies in creative industries, healthcare, education, and infrastructure, the chapter demonstrates HCGAI’s practical impact and concludes with a strategic research roadmap for future advancements in this evolving field.