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Harnessing artificial intelligence for enhanced security architecture and democratic accountability in Lagos State

Aug 2026 · Aminu Kano Academic Scholars Association Multidisciplinary Journal · Vol 5, pp. 142-155 · 0 citations

TL;DR

The study concludes that integrating AI into security governance can improve democratic accountability, responsiveness, transparency, and citizen-centred service delivery when supported by clear regulations, effective stakeholders’ collaboration, and sustained investment in digital capacity building.

Abstract

The growing difficulties of security challenges and governance demands in a contemporary societies like Lagos has so much created the need or choice for innovative technological remedies or immediate solutions that can strengthen institutional effectiveness and public accounting. In Nigeria, specifically in Lagos State, rapid urbanisation, population growth, and increasing security threats have exposed many limitations in conventional security management and governance monitoring systems. Furthermore, emerging intelligent digital technologies are increasingly being explored as tools for improving surveillance coordination and transparency, particularly in public administration. This study therefore investigates the extent to which artificial resources can enhance or aid security architecture and improve democratic accountability in Lagos State. The study adopts a descriptive survey research design while data will be collected from security personnel, public administrators, and selected residents with the use of well-structured questionnaire. The research examines key variables such as the level of adoption of Artificial Intelligence (AI)-driven security institutions, and citizen's trust in governance processes. Descriptive and inferential statistical method will equally be used to analyse the data collected. Findings are expected to strengthening public confidence and accountability mechanisms. Also, to reveal significant improvements of AI- enabled systems on early threat detection, operational coordination, and transparency in security reporting. However, challenges such as inadequate infrastructure, data privacy risk, and limited technical capacity may constrain the effective implementation. The study concludes that integrating AI into security governance can improve democratic accountability, responsiveness, transparency, and citizen-centred service delivery when supported by clear regulations, effective stakeholders’ collaboration, and sustained investment in digital capacity building. It recommends the development of comprehensive policy guidelines, training, and strengthened legal frameworks to ensure responsible and accountable use of AI technologies in Nigeria's security sector.

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