By By: Ebor, Lawrence Motim
Dr. Ebuta Erasmus Eyang
Eneyo Michael Antigha
Victoria Musa Amba
Ebor Matthew Ngbantul
Ozoh Sylvanus Iwora
Abstract
The integration of artificial intelligence (AI) in education has introduced numerous benefits, but also raises critical ethical concerns. This research explores the ethical implications of AI implementation in education, focusing on key dimensions such as privacy, data protection, equity, bias, and the teacher-student relationship. The findings emphasize the importance of transparency, accountability, and fairness in AI design and deployment. A comprehensive framework is proposed to guide ethical AI implementation, highlighting the need for robust policies, algorithmic transparency, and addressing biases. By addressing these ethical
considerations, educational stakeholders can create a responsible and inclusive environment that leverages AI’s potential while upholding ethical principles.
