Babatunde A. Agbeyangi¹, Oluwatobi N. Ogunnusi² and Abiodun B. Oluseye³
¹ Department of Accountancy, The Federal Polytechnic, Ilaro, Ilaro, Nigeria.
² Department of Mathematics and Statistics, The Federal Polytechnic, Ilaro, Ilaro, Nigeria.
³ Department of Mass Communication, Ogun State Institute of Technology, Igbesa, Nigeria.
E-mail: oluwatobi.ogunnusi@federalpolyilaro.edu.ng
GVU Journal of Management and Social Sciences
Volume 11, Issue 1 (2026)
Pages: 14–25
https://doi.org/10.5281/zenodo.21111502
There is an urgent need for Nigeria to continue leading the way in the adoption of artificial intelligence (AI) technologies for improving election administration amid ongoing electoral reforms. This paper explores the contributions of emerging AI innovations to election administration in Nigeria. Specifically, it examines the current state of election administration, reviews existing literature on AI applications in electoral processes, and identifies potential areas where AI can strengthen election management. Data on the possible applications of AI innovations were collected through a survey of 396 Nigerian voters, electoral stakeholders, and election administrators. The findings reveal that AI has significant potential to enhance election administration by improving fraud detection, strengthening transparency, increasing operational efficiency, and promoting the integrity of the electoral process. However, the study also identifies implementation challenges relating to technological infrastructure, public trust, and institutional readiness. The study concludes that the Independent National Electoral Commission (INEC) should progressively adopt AI-driven technologies to reduce electoral fraud and corruption while enhancing the credibility, transparency, and effectiveness of elections in Nigeria.
Artificial Intelligence; Election Administration; Electoral Process; Innovation; Nigeria
Agbeyangi, B. A., Ogunnusi, O. N., & Oluseye, A. B. (2026). Artificial Intelligence Innovations and Election Administration in Nigeria. GVU Journal of Management and Social Sciences, 11(1), 14–25. https://doi.org/10.5281/zenodo.21111502