FROM SEARCH TO SYNTHESIS: TRANSFORMING INFORMATION LITERACY IN THE AGE OF GENERATIVE AI

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Babangida Umar Dangani, PhD

Abstract

This study explores the evolving role of generative artificial intelligence (AI) in redefining information


literacy within academic libraries, with a specific focus on the Nigerian context. As generative AI tools


like ChatGPT transition information retrieval from search-based to synthesis-based interactions, they


offer new opportunities for enhancing research, teaching, and user engagement. The paper examines


the technical foundations of AI, its applications in library functions such as cataloguing,


recommendation systems, and virtual reference services, and outlines the transformative benefits for


Nigerian libraries. However, the study also addresses significant challenges including infrastructural


deficits, low AI literacy, data privacy risks, and ethical concerns. In conclusion the researcher highlights


that while the integration of AI into Nigerian libraries holds immense potential, it requires strategic


planning, investment, and interdisciplinary collaboration. Recommendations include strengthening


infrastructure, providing AI training, developing ethical guidelines, and initiating pilot projects. This


work contributes to the discourse on digital transformation in Nigerian library systems and offers


actionable insights for stakeholders seeking to future-proof information services in the AI era.


 

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Author Biography

Babangida Umar Dangani, PhD, Ahmadu Bello University, Zaria-Nigeria.

Babangida Umar Dangani, PhD

Department of library and information science,

Ahmadu Bello University, Zaria

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