摘要
随着信息技术的不断发展,人工智能技术与图书馆的融合逐渐深入,在提升图书馆管理和服务的同时,也给图书馆带来了各种安全风险。如何防范图书馆智能化带来的威胁和风险,是当前我们需要认真思考和面对的问题。在对人工智能理论及其图书馆应用进行分析的基础上,对图书馆应用人工智能带来风险的原因及其表现进行了探讨,认为可以利用机器学习构建图书馆智能防御系统,以有效应对信息泄露、网络攻击或虚假/恶意信息传播的风险。最后,采用贝叶斯方法建立了图书馆智能化安全防御模型,以期为人工智能有效应用于图书馆做一些理论探索。
With the development of information technology, the integration of artificial intelligence technology and libraries has gradually deepened. While artificial intelligence has improved library management and services,it has also brought various security risks to libraries. And how to prevent these threats and risks is a question that we need to think seriously. This paper analyzes the theory of artificial intelligence and its library application,discusses the causes and manifestations of the risks brought by artificial intelligence,and puts forward that the intelligent defense system of libraries can be constructed by machine learning to effectively deal with information leakage,network attacks or false/malicious information dissemination. Finally, the paper establishes an intelligent security defense model of libraries by using Bayesian method, in order to do some theoretical exploration for the effective application of artificial intelligence in libraries.
出处
《图书馆学研究》
CSSCI
北大核心
2019年第1期6-11,71,共7页
Research on Library Science
基金
国家社会科学基金项目"知识产权诉讼程序研究"(项目编号:15XFX018)研究成果之一
关键词
人工智能
图书馆
风险
贝叶斯方法
artificial intelligence
library
risk
bayesian method