
The integration of artificial intelligence (AI) into library systems can transform traditional libraries into innovative, user-centric environments. AI-driven technologies, such as machine learning, natural language processing, computer vision, and predictive analytics, can enhance user experience, optimise resource management, and improve accessibility. These smart libraries offer personalized recommendations, automate administrative tasks, and provide inclusive services for users with diverse needs. AI does not replace librarians but allows them to focus on high-value services. However, ethical considerations like data privacy and algorithmic bias must be addressed. Real-world implementations in Singapore's NLB and Helsinki's Oodi confirm AI's potential for efficient, inclusive, and future-ready knowledge environments.
Artificial Intelligence (AI); Smart Libraries; User Experience; Resource Management; Accessibility; Library Automation; Inclusive Design; AI tools
Artificial Intelligence (AI); Smart Libraries; User Experience; Resource Management; Accessibility; Library Automation; Inclusive Design; AI tools
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
