Editorial: Application of artificial intelligence in information services: part 1
Abstract
The integration of artificial intelligence (AI) into library and information services is no longer a futuristic concept; it is a present-day reality driving a profound paradigm shift. This special issue of The Electronic Library, “Artificial Intelligence in Library and Information Services” (Issue 43.5), presents a collection of groundbreaking research that captures the multifaceted nature of this transformation, from technical breakthroughs to critical human and ethical considerations.A primary theme is the automation and enhancement of core library operations. The study by Usta (2025) on “Transformer and statistical models for LCSH assignment” provides a groundbreaking comparative analysis. By leveraging a massive data set of over one million thesis titles and innovatively using synthetic data to mitigate class imbalance, the research demonstrates that transformer-based models like DeBERTa and ensemble approaches can achieve unprecedented accuracy in assigning Library of Congress Subject Headings. This work is a significant leap forward, offering a scalable, efficient solution to the labor-intensive process of subject indexing and setting a new benchmark for library automation projects.Beyond internal workflows, AI is revolutionizing user-facing services. The research by Chang and Chen (2025) on AI-enhanced reference services in the Hakka Literary Museum presents a visionary, multi-tiered framework. It illustrates how technologies like Retrieval-Augmented Generation (RAG)…
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