Ethical Integration of AI in Education: Challenges and Opportunities in the Nigerian Context

Abstract The integration of Artificial Intelligence (AI) into educational systems presents transformative opportunities to enhance teaching, learning, and administrative processes. In Nigeria, where educational inequalities and resource limitations persist, AI holds promise for bridging gaps in access, personalising learning, and improving decision-making. However, the deployment of AI technologies raises critical ethical concerns, particularly around fairness, transparency, and accountability. Without clear frameworks, there is a risk that AI systems could reinforce existing biases, marginalise vulnerable learners, or operate in ways that are opaque and unaccountable. This paper explores how ethical principles can guide the responsible implementation of AI in Nigeria’s education sector. It identifies key challenges, including data privacy issues, lack of regulatory oversight, and insufficient local capacity to evaluate AI tools. The paper also analyzes gaps in current education and digital policies, emphasizing the need for inclusive stakeholder engagement. A proposed framework is presented to ensure that AI deployment promotes equity and builds public trust. Recommendations include the development of national ethical AI guidelines tailored to the education context, mandatory training for educators and developers, and regular, context-sensitive audits of AI systems. These steps are essential to harness AI’s benefits while safeguarding against its potential harms in Nigerian education. Keywords: Artificial intelligence, Ethics, Digital Governance, AI policy, Trustworthy AI