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

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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-03
DOI
https://doi.org/10.5281/zenodo.17433240
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Zenodo (CERN European Organization for Nuclear Research)
Smart Cities and Technologies
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Edo State University Uzairue (NG)
Openalex Percentile: Top 38%
Smart Cities and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.