The Ethical Implications of AI in Education
DOI:
https://doi.org/10.31305/rrjss.2025.v05.n01.001Keywords:
Artificial intelligence, Ethical AI in Education, Algorithmic Bias, Data PrivacyAbstract
This article critically examines the ethical implications of integrating Artificial Intelligence (AI) into education, highlighting both its transformative potential and inherent risks. As AI enhances personalized learning, automates administrative tasks, and increases efficiency, it simultaneously raises pressing ethical concerns related to data privacy, algorithmic bias, transparency, and the diminishing role of human educators. The article explores key issues including the misuse of student data, lack of explainability in AI decision-making, inequities in access, and the psychological impact on students. It emphasizes the importance of safeguarding fairness, inclusivity, and student autonomy while deploying AI systems. Drawing on recent studies and international perspectives, the article underscores the need for robust ethical governance, transparent algorithms, and participatory policymaking. It advocates for collaborative efforts among educators, policymakers, and AI developers to design responsible AI frameworks that maintain the integrity of educational environments. By addressing these challenges, the article contributes to the ongoing discourse on ethical AI, urging stakeholders to view AI not as a threat, but as an opportunity for educational innovation when implemented responsibly. Its findings are particularly vital for guiding institutions in navigating the complexities of AI integration while upholding democratic values and the well-being of all learners.
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