ARTIFICIAL INTELLIGENCE, BIG DATA AND ALGORITHMS: OPPORTUNITIES AND CHALLENGES FOR LIBRARY SERVICES

Abstract

With the rising prevalence of Big Data and the increasing scope of Artificial Intelligence (AI), the vast pool of resources at academic libraries has expanded considerably. Incorporating AI and Big Data into library services enhances their value. The effective deployment of artificial intelligence techniques has become a critical mission for libraries worldwide. Libraries can leverage AI as an authoritative resource to improve operational efficiency and satisfy patrons with accurate reference material. The influence of networked intelligence and big data will substantially transform future libraries. Rising user expectations for multimedia-rich interfaces, real-time responses, and omnipresent services will pressure library systems to optimize response times at every stage of information retrieval. Machine-learning algorithms will scrutinize user queries, chat histories, item requests, and document-age preferences to deliver timely, tailored answers. These frameworks leverage user-set profiles to recommend resources aligned with expressed preferences and reading histories. Library and information services increasingly rely on AI-powered systems, yet no practical guidance exists for libraries to plan for, evaluate, or audit the ethics of AI. Resource constraints for both human resources and infrastructure may also impede adoption of digital and AI technologies in libraries. These challenges are especially pronounced in universities and institutes from low-income countries.