AI innovation is often collaborative, making the triple helix model a critical framework for understanding how AI systems evolve. Universities contribute to foundational research and talent development, governments provide strategy, regulations, and public policies, and industry drives commercialization and real-world application. When these organizations coordinate, they increase the use of AI research in new solutions while aligning technological progress with economic growth and public interest. Examining the triple helix model offers insight into how regions can build resilient, ethical, and competitive AI systems in a changing technological landscape. Applied Triple Helix (University–Government–Industry) Models for AI Innovation explores how coordinated collaboration between universities, government, and industry drives the development, deployment, and governance of AI innovations. It examines the roles, interactions, and policies that enable research application, commercialization, and socially responsible AI outcomes. This book covers topics such as micro-credentials, sustainable development, and value creation, and is a useful resource for business owners, educators, government officials, academicians, researchers, and scientists.