International Journal of Scientific Research and Engineering Development

The rapid integration of Artificial Intelligence (AI) into educational environments has transformed traditional teaching and learning paradigms, enabling personalized instruction, automated assessment, and data-driven decision-making. However, the deployment of AI in education introduces complex ethical and legal challenges that demand critical examination. This paper explores the multifaceted issues related to data privacy, algorithmic bias, accountability, and transparency in AI-based educational systems. It investigates how the collection and use of student data may compromise confidentiality and consent, and how biased datasets can perpetuate inequalities in academic evaluation. Furthermore, the study evaluates existing legal frameworks governing AI use in educational contexts and highlights gaps between technological innovation and regulatory compliance. By combining theoretical insights with real-world case studies, the paper aims to propose a balanced approach that safeguards human values, promotes fairness, and ensures responsible AI adoption in educational institutions.