The chapter Implementing Human-Centric Generative AI in Practice focuses on the practical steps and strategies for integrating human-centered principles into the development and deployment of generative AI systems. It outlines how organizations can apply ethical guidelines, user-centered design, and fairness considerations at every stage, from data collection to model training and evaluation. The chapter provides insights into real-world applications, showcasing how generative AI can be used in diverse fields like healthcare, education, and content creation while ensuring that systems are transparent, accountable, and inclusive. It discusses the importance of user feedback loops, ongoing testing, and iteration to ensure that AI tools remain aligned with human needs and values. Additionally, the chapter covers the challenges of scaling human-centric AI solutions and the need for collaboration among stakeholders—including technologists, policymakers, and affected communities—to create robust governance frameworks and regulatory standards. Overall, it emphasizes that the successful implementation of generative AI requires a balanced approach that considers both technical excellence and social responsibility.