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AI Governance and Institutional Readiness in Public Sector Systems: A Comparative Study Between India and Nigeria

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Authors : Linda John Obiorah, Banavath Ananditha, Mrinalini Menon, Paridhi Passi, B. R. Sanjeev Naick

Citation :

Linda John Obiorah, Banavath Ananditha, Mrinalini Menon, Paridhi Passi& B. R. Sanjeev Naick. (2026). AI Governance and Institutional Readiness in Public Sector Systems: A Comparative Study Between India and Nigeria. Institute For Policy Research and Governance, 1(14). https://doi.org/10.5281/zenodo.21479014


Abstract :

Artificial Intelligence (AI) is proving to be a crucial technology to enhance public service and governance. This paper examines how governance frameworks and institutional capacities shape AI adoption and management within government systems. By adopting a qualitative comparative case study analysis, using India and Nigeria as primary cases and South Korea as a benchmark for successful AI governance implementation, this paper examines the governance and institutional preparedness of AI in the public sector and identifies practical lessons on building governance structures and institutional foundations for responsible AI adoption. The analysis suggests that India possesses a more evolved framework for AI governance, enforced by the National Strategy for Artificial Intelligence (2018), and the India AI Mission (2024), a well-developed digital public infrastructure, and a strong focus on the development of skills and training. The National Artificial Intelligence Strategy (2024) indicates Nigeria’s growing institutional commitment to AI, as well as notable strides towards preparedness. South Korea is introduced as a benchmark, representing a more advanced AI governance model that offers concrete lessons for developing economies. Despite these disparities, the common concerns include the disconnect between policy aspirations and policy implementation, difficulty in developing specific AI laws, and concerns about accountability, transparency, bias, privacy and digital inclusion. The study calls for specific AI legislation, autonomous regulatory bodies, and more effective data governance between developing countries. It contends that institutional building and the institutionalization process are key to having responsible, sustainable and adaptive AI governance in the Global South, and that governance progress must be measured against concrete indicators like enforcement action, institutional capacity, digital literacy rates, public accountability and operationalization of independent bodies rather than policy adoption alone.

Keywords: Artificial Intelligence Governance, Institutional Readiness, Public Sector AI, Digital Governance, AI Regulation.

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