This study examines ethical challenges associated with implementing Artificial Intelligence (AI) in education across multiple stakeholder groups, including students, educators, administrators, and policymakers. It explores issues such as data privacy, algorithmic bias, transparency, academic integrity, and equity in access to AI tools. Drawing on recent empirical and conceptual research, the study investigates stakeholder perceptions, policy gaps, and ethical decision-making frameworks. Results aim to inform ethical guidelines that enhance responsible AI integration in learning environments, promote inclusivity, and safeguard educational integrity while enabling innovation and learner support.
Mansukhani et al. (Fri,) studied this question.