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The integration of artificial intelligence (AI) in education presents opportunities and ethical challenges. As AI systems become integrated in teaching, learning, and administrative processes, the need for clear policies and responsible practices becomes urgent. Ethical AI integration requires a balance between innovation and accountability, ensuring technologies promote equity, protect student data, uphold academic integrity, and support human educators. Further exploration of the intersection of policy and practice in guiding the ethical use of AI in education may reveal the importance of inclusive governance, transparency, and ongoing evaluation in shaping a student-centered educational system. Policy and Practice for Ethical AI Integration in Education explores how policies and practical guidelines ensure the ethical integration of AI technologies in educational settings. It examines issues like data privacy, algorithmic bias, transparency, and the role of educators and policymakers in promoting fairness, accountability, and inclusivity. This book covers topics such as ethics and law, student engagement, and curriculum development, and is a useful resource for educators, policymakers, computer engineers, academicians, researchers, and scientists.