[3] AI IN EDUCATION AND ITS ETHICAL IMPLICATIONS: INSIGHTS FROM EDUCATORS AND LEARNERS.

How to Cite the Article: Pujanjali Sethi (2026). Ai In Education and Its Ethical Implications: Insights from Educators and Learners. International Journal of Multidisciplinary Research & Reviews, 5(6),24-29. https://doi.org/10.56815/ijmrr.v5i6.2026.24-29

Abstract

Artificial Intelligence (AI) is a field of study that combines the applications of machine learning, algorithm productions and natural language processing. AI has a variety of educational applications, such as personalised learning platforms to promote students’ learning, automated assessment systems to aid teachers, and facial recognition systems to generate insights about learners’ behaviour. This theoritical review concerns related to data privacy, algorithmic bias, transparency, academic integrity and the shifting roles of educators in AI supported classrooms. Findings reveal that both educators and learners acknowledge the potential of AI to enhance learning outcomes, yet remain cautious about issues of fairness, autonomy and the reliability of AI-driven decisions. Educators emphasize the need of clearer guidelines, ethical training and human oversight, while students express apprehension regarding surveillance, misuse of personal data and reduced human interaction. The study underscores the importance of developing ethical frameworks and inclusive policies to ensure responsible AI implementation in Education. It concludes that balancing technological innovation with ethical safeguards is essential to fostering trust, equity and meaningful learning experiences in AI enhanced educational systems.