International Journal of Scientific Research and Engineering Development

The accelerated adoption of artificial intelligence (AI) across educational systems has generated transformative pedagogical possibilities while simultaneously introducing significant ethical concerns. AI-driven tools now support personalized instruction, automated assessment, learning analytics, and adaptive feedback mechanisms. However, their integration raises critical ethical questions related to data privacy, algorithmic bias, transparency, accountability, academic integrity, and educational equity. This paper presents a comprehensive analysis of ethical challenges and opportunities associated with AI-enhanced pedagogy, synthesizing recent empirical research, conceptual frameworks, and policy discussions. By examining AI's impact on teaching practices, learner agency, assessment, and institutional governance, the study highlights the necessity of aligning technological innovation with ethical responsibility. The paper proposes a set of pedagogical, institutional, and policy-oriented strategies to support responsible AI adoption, emphasizing human-centered design, participatory governance, and critical AI literacy. The findings suggest that ethical stewardship is not a constraint on innovation but a prerequisite for sustainable and equitable AI-driven educational transformation.

J.Kiruthika, L.Jeba Sheela, A.Abinaya, S.Lurdhu Jayasree,"Artificial Intelligence in Education: Ethical Navigation and Pedagogical Innovation" International Journal of Scientific Research and Engineering Development, V9(2): Page(840-843) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.