Sep 2026· International Journal of Scientific Research Studies· Vol 03· 0 citations
TL;DR
Nigeria's response to AI in elections should combine innovation with provenance, independent verification, institutional forensic capacity, platform accountability, media and AI literacy, and rights-preserving regulation.
Abstract
Artificial intelligence (AI) is becoming increasingly consequential to electoral information environments, although its democratic effects cannot be understood simply by treating every digital electoral technology as AI. This article examines how AI and AI-enabled information practices may shape electoral democracy and political participation in Nigeria, with particular attention to the 2023 general election and the institutional environment developing toward the 2027 electoral cycle. The study uses qualitative documentary research and thematic content analysis of peer-reviewed scholarship, Nigerian electoral and legal documents, institutional reports, and documented fact-checking evidence. The analysis distinguishes conventional digital electoral technologies, algorithmic systems, AI, generative AI, and synthetic media in order to avoid conceptual conflation. The evidence indicates that AI creates opportunities for voter information, civic verification, accessibility, administrative support and large-scale analysis, but also introduces risks associated with synthetic political content, impersonation, targeted disinformation, algorithmic amplification, uncertainty about content authenticity and gendered political abuse. Evidence from the 2023 election is particularly instructive because it includes both confirmed manipulated political audio and disputed or non-AI-generated material that was publicly described as a deepfake. This distinction reveals a deeper democratic problem: the erosion of citizens' ability to determine what political information can be trusted. The article develops an AI–Information Integrity–Participation–Democratic Legitimacy framework, arguing that the effects of AI are mediated by institutional capacity, regulation, platform governance, digital literacy, verification capacity and political trust. The article concludes that Nigeria's response to AI in elections should combine innovation with provenance, independent verification, institutional forensic capacity, platform accountability, media and AI literacy, and rights-preserving regulation.
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