人工智能是技术主权的战略组成部分

A. Kolianov
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摘要

介绍。文章分析了在全球数字竞赛的背景下,利用人工智能技术发展的科学、政治和社会方向。分析了世界上最大的国家为实现技术主权所采取的战略,以及人工智能在其中的地位和作用。特别注意对世界领先国家在数字技术领域取得成就的统计指标进行分析。俄罗斯联邦的科学、政治、经济、监管和社会资源也正在得到开发,使其成为数字和技术发展的全球领导者之一。方法和来源。本研究的理论和方法基础是关于技术和创新发展的经典社会经济概念(马克思、范伯林、熊彼特等)。在研究的实践部分,我们使用了文件分析(俄罗斯联邦政府分析中心和莫斯科物理技术研究所NTI“人工智能”能力中心的报告,俄罗斯国际事务委员会,Oxford Insights, Tortoise等的分析)和比较分析等方法。实证基础数据来自对中国、美国、印度和俄罗斯联邦在制定本国人工智能技术发展战略方面的经验分析。结果和讨论。作为研究的结果,我们能够追踪世界上最大的国家在发展人工智能的步骤概念化方面的积极行动如何反映在国家技术主权的建设中。通过分析,可以将俄罗斯支持人工智能技术发展的模式描述为“莫斯科共识”,其特点是结果具有社会取向。在技术主权的结构中,人工智能作为实现数字主权的战略组成部分发挥着重要作用。在可预见的未来,俄罗斯科技发展对进口解决方案和其他外部因素的依赖的关键影响是显而易见的,这需要对形势进行彻底审查,并公开讨论俄罗斯工业向工业4.0过渡的任何行动。与此同时,重要的是要认识到,如果没有政治决策和财政支持,使用人工智能的技术的前景是模糊的。
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Artificial Intelligence as a Strategic Component of Technological Sovereignty
Introduction. The article analyzes the scientific, political and social directions of technology development using artificial intelligence in the context of the global digital race. The strategies for achieving technological sovereignty, adopted by the largest countries of the world, and the place and role of artificial intelligence in them are analyzed. Special attention is paid to the analysis of statistical indicators of the achievements of the world's leading states in the field of digital technologies. The scientific, political, economic, regulatory and social resources of the Russian Federation are also being explored, allowing them to become one of the global leaders in digital and technological development.Methodology and sources. The theoretical and methodological base of the study were the classical socio-economic concepts of technological and innovative development (K. Marx,  T. Veblein, J. Schumpeter etc.). In the practical part of the study, we used such methods as analysis of documents (reports of the Analytical Center for the Government of the Russian Federation and the Competence Center of the NTI “Artificial Intelligence” of the Moscow Institute of Physics and Technology, analytics from the the Russian International Affairs Council, Oxford Insights, Tortoise etc.) and comparative analysis. The empirical base was data from an analysis of the experience of China, the United States, India and the Russian Federation in developing their own strategies for the development of artificial intelligence technologies.Results and discussion. As a result of the study, we were able to trace how the active actions of the world's largest countries in the conceptualization of steps to develop artificial intelligence are reflected in the construction of the state's technological sovereignty. The analysis made it possible to describe the Russian model of supporting the development of technologies using artificial intelligence as a “Moscow consensus”, characterized by a social orientation of the results.Conclusion. In the structure of technological sovereignty, artificial intelligence plays an important role as a strategic component that contributes to the achievement of digital sovereignty. In the foreseeable future, the critical impact of the dependence of Russia's scientific and technological development on imported solutions and other external factors is obvious, which requires a thorough examination of the situation and a public discussion of any actions for the transition of Russian industry to Industry 4.0. At the same time, it is important to realize that the prospects for technologies using AI are vague without political decisions and financial support. 
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