生成式人工智能与图书馆发展的国外研究进展

Advances in Generative Artificial Intelligence and Library Development:International Research Progress

文章对生成式人工智能与图书馆发展的国外研究进展进行了梳理回顾。研究发现,国外学者普遍认为,生成式人工智能技术通过模仿人类的认知过程,能够自动生成信息内容,提供个性化的用户服务,如智能检索、自动分类、问答互动等,极大地提升了图书馆的服务效率和用户体验。然而,生成式人工智能的应用也伴随着数据隐私泄露、版权侵犯、算法偏见、技术依赖、伦理不清等风险。这引起了国外学者的高度警惕,并提出了相关政策建议,如建立严格的数据治理框架和隐私保护政策,进行版权和合规内容获取教育,通过多元化数据集和定期算法审计消除偏见,增强决策透明度和责任归属明确性,提高技术依赖下的系统弹性,制定伦理指导政策,以防范其风险发生。

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.