The integration of Artificial Intelligence (AI) into Nigerian academic libraries offers a transformative opportunity to modernize information access, enhance user experience, and improve operational efficiency. This paper examines the current state of AI adoption in Nigerian libraries, focusing on tools like chatbots, automated cataloging, and personalized recommendation systems that can address resource gaps and enhance accessibility. Using the Technology Acceptance Model (TAM) as a theoretical framework, it explores the interplay between perceived usefulness, ease of use, and AI adoption. The paper highlights critical barriers, including infrastructural deficits, digital illiteracy, and ethical challenges such as algorithmic bias and data privacy concerns, while exploring the potential of generative AI tools in fostering inclusive education and virtual learning environments. The conclusion emphasizes that achieving AI's full potential requires addressing infrastructural and ethical challenges, prioritizing strategic investments, and fostering collaboration across sectors. Suggestions include allocating resources to upgrade facilities, implementing tailored AI tools, and establishing localized ethical frameworks to ensure equitable access and sustainability. By aligning global best practices with local realities, this paper provides actionable insights for policymakers, library management, and stakeholders toward a sustainable and innovative AI-driven future for Nigerian academic libraries.
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Justina Anjiode Kotso
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Justina Anjiode Kotso (Thu,) studied this question.
synapsesocial.com/papers/68c1c31b54b1d3bfb60f081d — DOI: https://doi.org/10.64348/zije.202564
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