Artificial Intelligence in Education and its Ethical Implications

Abstract

The integration of artificial intelligence (AI) technology in education has introduced numerous possibilities and benefits. However,
it also raises ethical concerns that demand careful consideration. This research work explores the ethical implications associated with
the implementation of AI in education. The work examines key ethical dimensions, including privacy and data protection, equity
and bias, and the impact on the teacher-student relationship. The findings highlight the importance of transparency, accountability,
and fairness in AI design and deployment. The work proposes a comprehensive framework to guide ethical AI implementation in
education, emphasizing the need for robust policies, algorithmic transparency, and addressing biases. By proactively addressing
these ethical considerations, educational stakeholders can ensure a responsible and inclusive educational environment that harnesses
the potential of AI while upholding ethical principles.