ARTIFICIAL INTELLIGENCE IN NIGERIA: AN EMPIRICAL ANALYSIS OF TECHNOLOGY USE AND VOTER TRUST IN PANKSIN LOCAL GOVERNMENT AREA OF PLATEAU STATE

Authors

  • Nkum Samuel Christopher Author
  • Danat Emmanuel Tanko Author
  • Madaki Egwa James Author
  • Tongyolla Sunday Author

Keywords:

Artificial Intelligence, voter trust, Nigeria, election technology, transparency

Abstract

Artificial Intelligence (AI) is rapidly transforming political processes globally, including election administration and voter engagement. This study empirically examines the impact of AI technology on voter trust in Nigeria, with a focus on electronic voting systems, biometric verification, and social media information dissemination. Using a descriptive survey design, data were collected from 400 registered voters across ten (10) electoral wards (Wokkos, Pankshin Central, Wuchembe, Mukang Nyelleng, Wusali, Fier, Kadung, Kangshu, Belning and Kasgong Ward) in Pankshin North through stratified random sampling. Analysis involved descriptive statistics (mean, standard deviation) and inferential statistics (regression analysis, correlation) at a 0.05 significance level. Findings reveal that effective AI deployment enhances transparency, reduces fraud, and positively influences voter confidence, but challenges such as digital illiteracy, misinformation, and infrastructural deficits undermine trust. The study concludes that AI has significant potential to improve electoral credibility in Nigeria. Recommendations include voter education, infrastructural investment, and regulatory oversight to maximize AI’s benefits.

Author Biographies

  • Nkum Samuel Christopher
    • Department of Business Education, Federal University of Education, Pankshin
  • Danat Emmanuel Tanko
    • Department of Business Education, Federal University of Education, Pankshin
  • Madaki Egwa James
    • Department of Business Education, Federal University of Education, Pankshin
  • Tongyolla Sunday
    • Department of Business Education, Federal University of Education, Pankshin

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Published

2026-02-19