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.