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Artificial Intelligence Utilization in Libraries

Artificial intelligence is becoming more and more crucial each passing day. This study initially will present artificial intelligence utilization in libraries. In 1950, Alan Turing came up with the idea that computers might be able to imitate human behavior. According to Turing, artificial intelligence could analyze texts, make modelling the knowledge to help decision-making, reproduce a standard reasoning and use this information to make decisions and to produce knowledge thanks to machine learning.

How artificial intelligence might change academic library work: Applying the competencies literature and the theory of the professions

The probable impact of artificial intelligence (AI) on work, including professional work, is contested, but it is unlikely to leave them untouched. The purpose of this conceptual paper is to consider the likelihood of the adoption of different approaches to AI in academic libraries. As theoretical lenses to guide the analysis the paper draws on both the library and information science (LIS) literature on librarians' competencies and the notions of jurisdiction and hybrid logics drawn from the sociological theory of the professions.

7 ways artificial intelligence is changing libraries

The development of innovative technology has reshaped the way we consume, access, process, and distribute information. Academic and research libraries are adopting new technology, searching to improve their services and competitive advantage. Artificial intelligence has been a major force driving this change, and in this article we are going to answer: how is AI shaping the world of libraries and researchers?

Application of Artificial Intelligence (AI) In Libraries and Its Impact on Library Operations Review

This article presents a literature review on the application of Artificial Intelligence (AI) in libraries and its impact on library operations. This study aims to provide researchers with a comprehensive understanding of AI in the library context. The research methodology involved utilising the Scopus database and identifying 66 relevant articles related to AI. After removing duplicates and applying filters, all 65 articles were reviewed, and their key findings and summaries are presented in this article.



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