Improving Nigerian Public Universities' Integrity Through Artificial Intelligence (AI) Monitoring Systems

Abstract Various problems—from exam malpractice to corruption to ineptitude —undermine the integrity of Nigerian public universities. The study examines the potential introduction of Artificial Intelligence (AI) technologies as monitoring systems designed to enhance academic integrity. By identifying and investigating issues such as assessment irregularities, the scale and nature of academic fraud, and social and political corruption, AI technologies can offer advanced mechanisms for the pre-emptive detection and deterrence of misconduct, thereby restoring public trust and educational outcomes. This research emphasises the need to establish AI integration by developing requisite infrastructure, systematic human capital development, and a robust ethical framework. The study ultimately advocates for a more holistic approach for strategic visioning, stakeholder participation, and continuous evaluation to build an environment conducive to ethical scholarship in Nigerian public universities. Other recommendations include establishing national policies on AI applications in education, training at various levels, and a concerted effort by educational stakeholders to enhance the quality of higher education systems in the country. Deploying AI applications with due diligence and ingenuity will rebuild academic integrity and operational efficiency, fostering a risk-averse and proud education ecosystem in Nigerian universities. Keywords: Artificial Intelligence (AI), Improving, Nigerian Public Universities, Integrity, Monitoring Systems