大数据分析与情报分析关系辨析

近年来,包括大数据分析在内的大数据理念和方法引起了图书情报界的密切关注,成为情报学的热点话题之一。通过对比分析,发现大数据分析与情报分析有着天然的联系,两者既有共性,又存在着一定的差异。共性表现在看重对数据的定量分析,关注多源数据融合和强调相关性分析三个方面。同时,两者在数据对象、数据规模、分析任务与分析时机等方面又各具特色。本文认为,应该充分认识这些共性与差异,把情报分析的特色与优势发挥好,以迎接大数据带来的挑战。表1。参考文献25。     

技术竞争情报的演化与发展

技术竞争情报已经成为企业和机构决策的必备要素。本文将技术竞争情报的发展与演变分为四个阶段,分析了各个阶段技术竞争情报的表现形式和特点,揭示了技术竞争情报内涵的演变。结合企业和机构的竞争战略,指出了技术竞争情报不再仅仅只是满足企业竞争和发展的需要,而是快速延伸到了宏观科技管理、公共管理、产业政策研究等领域。技术竞争情报的研究内容包含了技术竞争情报和技术竞争情报系统基础理论研究,技术竞争方法研究。最后,论述了技术竞争情报的应用。     

Assessing behavioral data science privacy issues in government artificial intelligence deployment

In today's global culture where the Internet has established itself as the main tool for communication and commerce, the capability to massively analyze and predict citizens' behavior has become a priority for governments in terms of collective intelligence and security. At the same time, in the context of novel possibilities that artificial intelligence (AI) brings to governments in terms of understanding and developing collective behavior analysis, important concerns related to citizens' privacy have emerged. In order to identify the main uses that governments make of AI and to define citizens' concerns about their privacy, in the present study, we undertook a systematic review of the literature, conducted in-depth interviews, and applied data-mining techniques. Based on our results, we classified and discussed the risks to citizens' privacy according to the types of AI strategies used by governments that may affect collective behavior and cause massive behavior modification. Our results revealed 11 uses of AI strategies used by the government to improve their interaction with citizens, organizations in cities, services provided by public institutions or the economy, among other areas. In relation to citizens' privacy when AI is used by governments, we identified 8 topics related to human behavior predictions, intelligence decision making, decision automation, digital surveillance, data privacy law and regulation, and the risk of behavior modification. The paper concludes with a discussion of the development of regulations focused on the ethical design of citizen data collection, where implications for governments are presented aimed at regulating security, ethics, and data privacy. Additionally, we propose a research agenda composed by 16 research questions to be investigated in further research.