PROSPECTS AND CHALLENGES OF APPLYING ARTIFICIAL INTELLIGENCE IN THE NIGERIAN IMMIGRATION SERVICE

Abstract

This study examines the challenges and prospects of integrating artificial intelligence (AI) in service delivery within the Nigerian Immigration Service (NIS). It investigates the potential benefits of AI for enhancing cross-border security, improving operational efficiency, and addressing administrative processes, while also evaluating the obstacles associated with its implementation. Using a qualitative descriptive research design, data were collected from secondary sources and analyzed through the lens of the Diffusion of Innovation (DOI) Theory. Findings reveal that AI implementation may raise concerns related to privacy, discrimination, and biases. Conversely, AI presents significant opportunities, including efficient immigration processing, secure identity verification at border controls, improved forecasting, and better resource allocation. The study concludes that, despite its challenges, AI adoption could substantially enhance service delivery in NIS. It recommends that the government and NIS management invest in the necessary infrastructure, provide staff training on AI applications, and address connectivity and internet accessibility issues to maximize the technology’s potential.