This study addresses the opportunities presented by AI applications in education and the ethical issues brought about by this technology. AI in education holds excellent potential in personalized learning, automated assessment and feedback, and monitoring and analyzing student performance. However, using these technologies also raises ethical concerns, including data privacy and security, fairness and impartiality, transparency and accountability, and the diminishing role of the human factor. The present study thoroughly examines the role of AI in education and the opportunities it offers while providing solutions to the ethical issues that arise in this context. The primary proposed solutions include implementing robust protection measures to ensure data privacy and security, developing fair and impartial algorithms, adopting transparency policies, and promoting human-AI collaboration. Finally, this study offers perspectives on the future of AI in education and emphasizes the importance of using this technology responsibly through continuous ethical evaluation and improvement processes. Successfully and ethically integrating AI applications in education will make education systems more efficient, effective, and equitable. [For the full proceedings, see ED671809.]