Artificial Intelligence is rapidly transforming education, reshaping how learners engage with knowledge and how educators design meaningful, equitable learning experiences. This edited volume offers a concise yet comprehensive examination of AI in education, highlighting the potential of intelligent systems to support personalization, enhance assessment, expand access, and improve teaching and learning across diverse educational levels. At the same time, it addresses crucial ethical, bias, transparency, equity, and human agency issues, underscoring the need for responsible, human-centered AI integration. Drawing on global perspectives and research-driven insights, the book explores AI-powered learning environments, adaptive feedback, generative AI tools, and emerging models of curriculum design, teacher preparation, and institutional readiness. It emphasizes the importance of AI literacy, fairness frameworks, and inclusive design principles that empower learners and educators rather than replace them. By illuminating both opportunities and challenges, from accuracy and privacy concerns to the promise of competency-based assessment and activity-driven pedagogy, this volume offers readers a balanced and forward-thinking foundation for navigating AI’s role in shaping the future of education. Ideal for scholars, teachers, technologists, and policymakers, the book provides essential guidance for those seeking to harness AI’s potential while safeguarding educational values, ensuring ethical use, and promoting innovation that strengthens, not diminishes, human creativity, dignity, and diversity.