The integration of AI into education, governance, and leadership reshapes how institutions operate, make decisions, and deliver services. From personalized learning platforms and automated administrative processes in schools to data-driven policymaking and strategic planning in leadership contexts, AI offers opportunities to enhance efficiency, equity, and effectiveness. However, alongside these innovations come concerns about ethical use, data privacy, and algorithmic bias. Examining the adoption and impact of AI requires a balanced understanding of its transformative potential and the ethical frameworks guiding its responsible use. AI in Education, Governance, and Leadership: Adoption, Impact, and Ethics explores the integration of intelligent technology into educational administration, policy, and instruction. It examines various challenges associated with AI, including its effective adoption, potential impact, and ethical dilemmas. This book covers topics such as educational governance, special education, and digital technology, and is a useful resource for educators, policymakers, computer engineers, academicians, researchers, and data scientists.