A Systematic Review of Transforming Academic Libraries, Education, and Research Trends in the Era of Generative AI

Abstract

The emergence of Generative artificial intelligence (GenAI) represents an important turning point in the transformation of academic libraries, education, and research. This systematic review integrates recent scientific literature to explore how GenAI Technologies reshape these domains. With the academic library, GenAI improves information, automates the generation of metadata, and enables a personalized user experience. In education, the GenAI adaptive learning environment, intelligent tutorial systems, and automated assessment also support ethical concerns regarding bias, academic integrity, and data protection. In the field of research, GenAI tools accelerate literature overview, hypothesis generation, data analysis, which provide new ways to ask questions about effectiveness, transparency, and ethical supervision. Despite its potential for change, GenAI integration strictly requires the conditions of ethical frameworks, institutional politics, and ongoing human oversight. This review concludes that GenAI offers considerable promise to academic ecosystems. Responsible and fair implementation to promote long-term innovation and integrity is important.

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