Developing an Ethical Framework for the Deployment of an Artificial Intelligence–Driven Learning System in Nigerian Universities

The integration of AI-driven learning systems into educational systems is rapidly transforming educational landscape globally and Nigerian educational system is not exempted. AI-driven learning systems offer personalized learning, enhancing administrative tasks, and automated assessment among others. However, the ethical implication of deploying such technologies are underexplored. Thus, this paper examined the ethical implications of AI-driven learning systems in Nigerian universities, a proposed framework. Key issues discussed are data privacy, algorithmic bias, and over-dependency on technology could de-skill educators, diminishing the role of critical thinking and the vital teacher-student mentorship. To address these concerns, the study proposed an ethical framework tailored to the Nigerian context, grounded in principles of fairness, accountability, inclusivity and cultural sensitivity. The study recommended, among others, are National Universities Commissions should establish national guidelines for ethical artificial intelligence use in education, ensuring that innovation aligns with societal values, and managers of universities should prioritize data and invest in digital infrastructure and provide equitable access to ensure the benefits of AI are inclusive. This will ensure that artificial intelligence is responsibly and ethically used in educational settings.