The integration of Artificial Intelligence (AI) in education presents significant opportunities and challenges. This review explores the potential of AI to revolutionize traditional pedagogical approaches, personalize learning experiences, and streamline administrative tasks. AI technologies can adapt instruction to individual learning styles, enhance student engagement, and automate administrative processes. Additionally, AI-powered virtual and augmented reality applications can create immersive learning environments, enriching the educational experience. However, the integration of AI in education also raises ethical concerns, including data privacy, security, and the risk of perpetuating biases. Issues such as accessibility, the digital divide, and the potential for AI algorithms to reinforce inequalities must be carefully addressed. Educational institutions must ensure that AI is used responsibly, transparently, and ethically to support equitable and inclusive learning environments. The review highlights the importance of addressing these challenges through ethical foresight, collaboration among educators, policymakers, and technology developers, and the implementation of robust data protection measures. By prioritizing fairness, transparency, and accountability, stakeholders can harness the full potential of AI to enhance educational outcomes and promote equitable access to high-quality education for all learners.The integration of Artificial Intelligence (AI) in education presents significant opportunities and challenges. This review explores the potential of AI to revolutionize traditional pedagogical approaches, personalize learning experiences, and streamline administrative tasks. AI technologies can adapt instruction to individual learning styles, enhance student engagement, and automate administrative processes. Additionally, AI-powered virtual and augmented reality applications can create immersive learning environments, enriching the educational experience. However, the integration of AI in education also raises ethical concerns, including data privacy, security, and the risk of perpetuating biases. Issues such as accessibility, the digital divide, and the potential for AI algorithms to reinforce inequalities must be carefully addressed. Educational institutions must ensure that AI is used responsibly, transparently, and ethically to support equitable and inclusive learning environments. The review highlights the importance of addressing these challenges through ethical foresight, collaboration among educators, policymakers, and technology developers, and the implementation of robust data protection measures. By prioritizing fairness, transparency, and accountability, stakeholders can harness the full potential of AI to enhance educational outcomes and promote equitable access to high-quality education for all learners.