Library Science Research & Work.
2024, 0(8):
48.
This paper examines the progress of international research on the intersection of generative AI and library development. Findings indicate that international scholars widely recognize the potential of generative AI to emulate human cognitive processes, autonomously generate information content, and provide personalized user services, including intelligent retrieval, automatic classification, and interactive Q&A. These capabilities significantly enhance the efficiency of library services and improve user experience. Nonetheless, the application of generative AI also brings risks such as data privacy breaches, copyright infringement, algorithmic bias, technological dependency, and ethical ambiguities. These risks have raised significant concern among international scholars, who have proposed various policy recommendations. These include establishing stringent data governance frameworks and privacy protection policies, promoting copyright education and compliant content acquisition, eliminating biases through diversified datasets and regular algorithm audits, enhancing transparency in decision-making, clearly attributing responsibility, strengthening system resilience against technological dependency, and formulating ethical guidelines to prevent potential risks.