Author
Abstract
The aim of the study is to interrogate artificial intelligence and Kogi state governorship election: issues and challenges for 2017. This study investigates the role and impact of artificial intelligence (AI) in the 2017 Kogi State governorship election, focusing on the utilization, challenges, and implications of AI technologies. Utilizing secondary data from academic sources, election reports, and media coverage, the study examines how AI was employed for voter authentication, data analytics, and real-time reporting. The analysis reveals that AI technologies such as Biometric Voter Authentication, Data Analytics, AI-driven Social Media Analysis, and Real-time Reporting Systems were employed with varying frequencies, demonstrating their roles in enhancing electoral processes. However, significant challenges emerged, including technical failures, insufficient training, and resistance from political actors, which impacted AI effectiveness. The study also highlights the mixed influence of socio-political factors on AI, noting that while political tensions and interference had contrasting effects, public trust in technology and institutional capacity played critical roles in shaping outcomes. Additionally, concerns about data privacy, including misuse and inadequate security, were prominent, underscoring the need for improved data management practices. Recommendations include investing in advanced technologies, enhancing training and infrastructure, and fostering transparency and trust to better leverage AI in future elections. This comprehensive examination provides valuable insights into the integration of AI in electoral processes and offers actionable strategies for overcoming identified challenges.
Suggested Citation
Alih, Lami, 2025.
"Interrogating Artificial Intelligence and Kogi State Governorship Election: Issues and Challenges for 2017,"
International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3), pages 2632-2643, March.
Handle:
RePEc:bcp:journl:v:9:y:2025:issue-3:p:2632-2643
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