Integrating Artificial Intelligence in Nigeria’s Legislative Process
Opportunities and Challenges for the Niger State House of Assembly
Abstract
This study addresses the lack of comprehensive research on the integration of Artificial Intelligence (AI) in sub-national legislative processes, particularly in Nigeria’s Niger State House of Assembly (NSHA). The motivation for the study arises from the growing global use of AI in governance, with limited exploration of its potential in Nigeria’s state assemblies. The study’s objectives are to investigate existing legislative practices and technological infrastructure in the NSHA, analyse AI’s perceived benefits, and identify challenges to its adoption. A mixed-methods approach was employed, combining quantitative surveys and qualitative interviews with NSHA members. The Technology Acceptance Model (TAM) and Institutional Theory (IT) provide the theoretical framework, focusing on individual perceptions and organizational pressures that influence AI adoption. Findings reveal that AI could improve decision-making and accountability in legislative processes. However, technical expertise and infrastructure need enhancement. Recommendations include targeted capacity-building and infrastructure investments.
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Copyright (c) 2025 Asimiyu Olalekan Murana, Abdul Rauf Ambali, Yusuf Ajani Sholola, Ibrahim Safiya Shaba
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