Tansian University Journal of Arts, Management & Social Sciences

This study provides a critical review of literature on artificial intelligence (AI)-driven security communication in Nigeria, examining its promises, challenges, and ethical implications within the context of emerging national security practices. Anchored in the Technology Acceptance Model (TAM), the study adopts a qualitative approach through the systematic analysis of peer-reviewed articles, policy documents, and institutional reports. Findings indicate that AI enhances security communication through predictive analytics, real-time threat detection, automated misinformation management, and improved inter-agency coordination. These innovations offer significant potential for faster decision-making, data-driven intelligence, and more inclusive public safety communication. However, the review identifies persistent challenges, including algorithmic bias, data privacy concerns, limited transparency, infrastructural constraints, and weak governance frameworks. Ethical issues such as surveillance overreach, inadequate consent mechanisms, and the erosion of public trust further complicate AI adoption. The study concludes that both institutional and public acceptance of AI technologies is largely shaped by perceived usefulness, ease of use, and trust in regulatory accountability. It recommends strengthening data governance frameworks, enhancing transparency in AI deployment, building institutional capacity, and fostering community engagement to balance technological efficiency with ethical responsibility.

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