Harnessing ChatGPT as an Intelligent Tool for Data Analysis in Algerian Libraries: Opportunities, Challenges, and Theoretical Perspectives

Abstract

The rapid evolution of information and communication technologies has transformed the library and information science (LIS) sector worldwide, with Algerian libraries standing at the threshold of profound change.Artificial intelligence (AI) applications, particularly natural language processing (NLP) models such as ChatGPT, present a groundbreaking potential for data analysis, information retrieval, and decision support.This study aims to provide a comprehensive theoretical framework for understanding how ChatGPT can function as a smart tool for data analysis in Algerian libraries.The article explores three interrelated dimensions: (1) the conceptual foundations of data analysis in library contexts; (2) the distinctive capabilities of ChatGPT in semantic understanding, text classification, and automated information organization; and (3) the socio-technical, infrastructural, and ethical challenges facing its adoption in Algeria.Findings highlight that ChatGPT offers substantial potential for enhancing library services by enabling advanced textual analytics, personalized recommendations, and data-driven decision-making.However, significant challenges persist, including infrastructural readiness, digital literacy gaps among librarians, language-specific constraints, and ethical issues related to privacy, bias, and accountability.By critically examining both opportunities and limitations, this article contributes to the academic debate on AI adoption in developing library systems and provides practical insights for Algerian institutions seeking to modernize their information ecosystems.

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