Published Paper Details:

The rapid advancement of Artificial Intelligence (AI) technologies -- encompassing machine learning, natural language processing (NLP), large language models (LLMs), and intelligent recommender systems -- is fundamentally transforming the landscape of academic library services. The library website, as the primary digital interface between the library and its users, represents a critical battleground for AI adoption. This exploratory study investigates the nature, extent, and implications of AI integration in academic library websites globally, with specific attention to the Indian higher education context. Drawing on a comprehensive review of recent literature (2020-2025), this paper identifies eight major categories of AI applications currently deployed or emerging on academic library websites: AI-powered chatbots and virtual assistants, intelligent recommendation systems, NLP-based search and discovery, automated cataloguing, plagiarism detection tools, predictive analytics, accessibility AI tools, and AI-assisted digital preservation. The paper also proposes a 20-parameter evaluation checklist for assessing AI integration on library websites, examines key challenges including data privacy, algorithmic bias, and digital divide, and offers strategic recommendations for academic libraries -- particularly in India -- seeking to adopt AI responsibly and effectively. The study concludes that while AI holds transformative potential for academic libraries, its adoption must be guided by clear ethical frameworks, institutional policies, and sustained investment in library staff capacity building.