The 2023 Nigerian elections revealed persistent issues, including ballot box theft, manipulation of results, BIVAS malfunction, religious and ethnic disenfranchisement, and inadequate infrastructure. This highlights the need for impartial AI systems to ensure transparency and easily monitor the election process.The study investigated how artificial intelligence (AI) can help promote fair and inclusive innovation in Nigeria's electoral processes. Warns against relying too heavily on technology and emphasizes ensuring that AI systems align with and enhance democratic values rather than undermine them. AI can be framed as an enabler, rather than a driver, of participatory democratic innovations, which is a valuable perspective. The Democratic Innovation Theory was employed to explain how inclusive participation, contextual relevance, and collective ownership can be achieved in electoral innovations. AI is regarded as a catalyst for implementing these principles by reducing barriers to entry, promoting collaboration, and providing data-driven insights. Specific AI applications analyzed include computer vision for ballot security, blockchain-enabled result transmission, machine learning to detect anomalies, natural language processing for fact-checking, and predictive analytics to optimize planning. The study recommended multifaceted strategies involving stakeholders from government, civil society, technology sectors, and local communities. Proposed reforms emphasize inclusive AI system design that draws on diverse training data, participatory testing, citizen oversight boards, and public education campaigns. The study underscores the importance of robust governance frameworks and capacity building for responsible and democratically accountable AI adoption.