Artificial Intelligence in Higher Education Institutions Libraries: Analyzing User Perceptions and Expectations

Abstract

Abstract This study investigates student perceptions of artificial intelligence (AI) adoption in university libraries, focusing on their understanding of AI’s benefits and ethical considerations essential for broader institutional implementation. A quantitative survey was conducted using structured questionnaires distributed among 400 students from Kurukshetra University, Shri Krishna Ayush University, NIT, and NID, with 377 valid responses analyzed using SPSS. Statistical tools such as ANOVA and percentage analysis were employed to assess the influence of demographic and institutional factors on students’ perceptions and expectations. The findings reveal that students view AI positively, recognizing its role in improving access to resources, personalized recommendations, and operational efficiency. However, concerns persist regarding data privacy, reduced human interaction, and job displacement. Notably, students with greater exposure to AI showed higher acceptance, while others remained cautious. The study’s limitations include reliance on data from four institutions and self-reported responses. Nonetheless, the results provide valuable insights for academic libraries across sectors. Practical implications suggest the need for privacy safeguards, transparent AI systems, and targeted training to build trust and enhance adoption. This research contributes to academic discourse by aligning AI implementation with student needs and ethical standards, offering institutional strategies for effective AI integration in library services.

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