ARTIFICIAL INTELLIGENCE IN LIBRARIES: IMPACTS ON INFORMATION ORGANIZATION, INFORMATION MEDIATION, AND USER EXPERIENCE

Abstract

His study addresses the following research problem: how has Artificial Intelligence transformed services, information organization, and the relationship between libraries and users? The general objective is to analyze the contributions, possibilities, and challenges associated with the use of Artificial Intelligence in libraries, considering its application in process automation, content recommendation, user assistance, and information mediation. Methodologically, this study is characterized as bibliographic research, adopting a qualitative approach and an exploratory-descriptive design, based on scientific literature and institutional documents related to Artificial Intelligence, Library Science, and Information Science. The results indicate that AI-based systems have the potential to support cataloging, classification, metadata generation, and information retrieval activities, while also enhancing reference services through chatbots, virtual assistants, and recommendation systems. However, their implementation raises issues related to privacy, data protection, algorithmic bias, transparency, information reliability, and professional qualification. It is concluded that Artificial Intelligence can increase the efficiency and innovation capacity of libraries, provided that its adoption is associated with human oversight, ethical governance, and the strengthening of librarians’ critical role, while preserving human mediation as a fundamental element for ensuring democratic, contextualized, and responsible access to information.