Anthropomorphic AI in Academic Libraries

Abstract

This study investigates system librarians' perspectives and lived experiences with the integration of AI anthropomorphism in Nigerian academic libraries for web-based service delivery. A qualitative phenomenological approach was adopted, utilizing a focused group discussion with six system librarians purposively selected from across Nigeria's six geopolitical zones. Data from the semi-structured interview were analyzed thematically. The results revealed that AI anthropomorphism significantly enhances user engagement and accessibility, particularly for hesitant patrons, and offers operational benefits through personalized, scalable services. However, substantial challenges were identified, including risks of user misunderstanding, eroded trust, potential emotional dependency, and ethical dilemmas concerning data privacy and transparency. A clear generational divide in acceptance was also observed. The study concludes that the successful integration of anthropomorphic AI requires a balanced, human-centered approach guided by robust ethical frameworks to ensure these technologies augment rather than compromise the library's mission.

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