The University of Lagos (UNILAG) has reaffirmed its commitment to institutional excellence and innovation with a thought-provoking seminar examining how Artificial Intelligence (AI) can transform quality assurance and public service delivery while preserving the University’s core values of integrity, accountability and excellence.
Organised by the Quality Assurance and SERVICOM (QAS) Unit, the Second Quarter Seminar/Workshop was held on Thursday, July 2, 2026, at the Arthur Mbanefo Digital Research Centre (AMDRC).
Themed “Quality Assurance in the Era of Artificial Intelligence: Opportunities, Risks and Best Practices,” attracted members of the University community eager to understand how AI is reshaping higher education and institutional governance.
Declaring the seminar open, Director of the Quality Assurance and SERVICOM Unit, Professor Olufemi Muibi Saibu, described Artificial Intelligence as one of the defining technologies of the modern era and emphasised the need for staff to understand both its enormous potential and the responsibilities that accompany its adoption.
He explained that the seminar aligns with the Vice-Chancellor’s Future-Ready Agenda, which seeks to position UNILAG as a globally competitive university driven by innovation, digital transformation and excellent service delivery.
The first presentation, delivered by Associate Professor of Computer Science (Artificial Intelligence) and Director of the NITDA IT Hub (NITHub), Dr. Victor Odumuyiwa, challenged participants to view AI not merely as another digital tool but as a defining moment for institutional quality assurance.
Speaking on “Quality, Service and Integrity at the University of Lagos in the Age of Artificial Intelligence: Present Realities, Future Horizons,” Dr. Odumuyiwa described AI as both a remarkable opportunity and a significant responsibility. He noted that while AI has the capacity to strengthen quality monitoring, improve service delivery and support evidence-based decision-making, its use must always be guided by fairness, transparency and human judgment.
The MIT Alumnus cautioned against an over-reliance on AI systems, highlighting concerns such as algorithmic bias, inaccurate AI detection tools, data privacy and the absence of institutional AI policies within many higher education institutions. Rather than replacing human interaction, he stressed that AI should support the work of quality assurance professionals, enabling them to focus on strategic oversight while technology handles routine tasks.
According to him, the University’s existing Quality Handbook provides a strong foundation upon which comprehensive AI governance policies can be developed, ensuring that innovation advances alongside accountability.
Building on these insights, Dr. Solomon C. Nwaneri of the Department of Biomedical Engineering, Faculty of Engineering, demonstrated how AI can be applied across different aspects of university administration to improve efficiency and institutional performance.
Drawing practical examples from teaching, research, accreditation, human resource management and student support services, Dr. Nwaneri illustrated how AI can help universities analyse feedback more effectively, identify students requiring early intervention, simplify accreditation processes, strengthen research management and improve decision-making through data-driven insights.
He, however, reminded participants that technological advancement must never come at the expense of ethics or academic integrity. Responsible AI adoption, he noted, requires clear governance frameworks, strong data protection measures, continuous staff development and regular evaluation of AI systems to ensure they remain transparent, fair and aligned with institutional values.
The seminar also featured lively question and answers engagement during which participants reflected on practical ways the University can harness emerging technologies to improve teaching, learning, research and administrative processes while maintaining public trust and the highest standards of quality.
The workshop concluded with a renewed commitment by the Quality Assurance and SERVICOM Unit to deepen AI literacy, strengthen institutional quality systems and support the University’s vision of becoming a future-ready institution where innovation and human excellence work hand in hand.
Report: Bayo Salau
Photographs: Samuel O. Dosunmu
