| Abstrakt: |
Artificial Intelligence (AI) is transforming library services by enhancing access to information, improving operational efficiency, and enriching user experiences. This paper explores the multifaceted applications of AI within libraries, focusing on key areas such as automated cataloguing, personalized recommendation systems, AI-powered virtual assistants, and predictive analytics for collection management. Automated cataloguing leverages machine learning algorithms to streamline the classification and metadata assignment process, making information retrieval more efficient. Personalized recommendation systems, drawing on user behaviour and preferences, deliver tailored suggestions that enhance user engagement. AI-driven virtual assistants provide real-time, nuanced support through natural language processing, significantly improving the quality of user interactions. Predictive analytics allows libraries to optimize their collections by anticipating future resource demands. However, the integration of AI also presents challenges, including ethical concerns related to algorithmic bias, data privacy issues, and the potential exacerbation of the digital divide. Through case studies of leading libraries, the paper demonstrates the practical benefits of AI while proposing strategies to address these challenges. The conclusion emphasizes the need for ethical AI development, inclusive service models, and ongoing collaboration between libraries and AI researchers to fully harness AI's potential in the evolving landscape of library services. [ABSTRACT FROM AUTHOR] |
