AI in higher education reshapes knowledge creation, delivery, and evaluation. As AI tools become integrated into classrooms, research, and administrative systems, they redefine the roles of both educators and students. Faculty transition from primary sources of information to facilitators of critical thinking, while students learn to collaborate with AI as a resource. This relationship raises important questions about academic integrity, equity of access, and the development of human skills like creativity, judgment, and empathy. Understanding these dynamics is crucial for institutions harnessing AI's potential while preserving higher education values. Human-AI Dynamics in Higher Education explores how AI interacts with students, educators, and institutional systems to shape teaching, learning, and research practices. It examines opportunities and challenges, including impacts on academic integrity, skill development, equity, and the evolving roles of humans in AI-enhanced educational environments. This book covers topics such as digital technology, social media, and student engagement, and is a useful resource for engineers, educators, academicians, researchers, and scientists.