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作 者:刘佳[1] LIU Jia(Nanjing Library,Jiangsu 210018)
机构地区:[1]南京图书馆,南京210018
出 处:《农业图书情报学报》2024年第7期63-75,共13页Journal of Library and Information Science in Agriculture
摘 要:[目的/意义]随着信息技术的快速发展,图书馆服务迎来了深刻的变革,生成式人工智能(Generative AI)的崛起为智能图书馆提供了全新的服务创新机遇,但也伴随着风险。研究生成式人工智能在智能图书馆中的应用方式及其带来的潜在风险,有助于推进智能图书馆的可持续发展。[方法/过程]本研究通过对生成式人工智能在智能图书馆个性化推荐、智能问答、自动摘要等方面的应用现状进行系统梳理,分析其技术在提升用户体验、服务效率中的优势及应用方式。同时,本研究也深入探讨了生成式人工智能在图书馆服务中的技术风险、伦理风险和管理风险,并基于已有研究成果提出多维度的风险规避策略。[结果/结论]研究发现,生成式人工智能在提升图书馆服务质量与用户体验方面具有显著效果,但同时面临数据安全、模型偏差、伦理道德等多重挑战。为此,本研究提出了风险规避措施,包括加强数据安全与隐私保护、提升模型透明度、确保系统稳定性及制定并遵守伦理准则等,以保障生成式人工智能在图书馆中的安全、可靠应用。随着技术的持续发展,其在智能图书馆中的应用将进一步深化,推动图书馆服务的创新和升级。[Purpose/Significance]With the rapid advancement of information technology,library services are undergoing transformative changes.The emergence of generative artificial intelligence(Generative AI)presents unprecedented opportunities and challenges for innovation in smart library services.By enhancing service efficiency and user experience,generative AI supports core library functions,such as personalized recommendations,intelligent question answering,and automatic summarization.This research explores the implications of applying generative AI technology to library services,with the goal of understanding its transformative impact on the field and addressing its potential risks.Unlike traditional studies that focus primarily on functionality,this study emphasizes the ethical,technical,and management risks associated with the use of generative AI in libraries.The study occupies an important place in the advancement of knowledge in this area and contributes to the development of sustainable,user-centered library services capable of addressing significant contemporary challenges related to information accessibility and data security.[Method/Process]This study uses a systematic literature review and case analysis to examine the current state of generative AI applications in smart libraries.A comprehensive approach is taken to understand how generative AI can enhance library services in areas such as personalized recommendation systems,intelligent Q&A,and automated summarization.The study draws on both theoretical and empirical sources,utilizing qualitative analysis to examine trends in the use of generative AI in different types of library services.This review also includes a thorough examination of the potential risks associated with implementing these technologies.Technical risks include data security vulnerabilities and model bias,while ethical risks focus on the issues surrounding user privacy,misinformation,and intellectual property rights.Management risks are also discussed,including the challenges of maintaining
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