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新质生产力视域下的人工智能自动化:双重生产力叠加效应与新经济增长

Artificial Intelligence Automation from the Perspective of New Quality Productive Forces: The Superposition Effect of Dual Productivity and New Economic Growth

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【作者】 张永林刘李俪胡小莉

【Author】 ZHANG Yonglin;LIU Lili;HU Xiaoli;School of Statistics, Beijing Normal University;Institute of Education Finance, China National Academy of Educational Sciences;School of Economics and Management, Communication University of China;

【机构】 北京师范大学统计学院中国教育科学研究院教育财政研究所中国传媒大学经济与管理学院

【摘要】 文章解释了新质生产力视域下的人工智能自动化概念的内涵、特征和意义。人工智能自动化不同于机械自动化,是组织和行为的自主生成性。其本质特征是自我优化机制、自主组织机理和自动行为机能。人工智能自动化的这些特质和特性,使其产生直接和间接两方面的双重生产力。人工智能自动化的直接生产力与间接生产力复合叠加,产生技术创新增长率大于资本积累增长率效应、资本生产率增长×技术生产率增长叠加效应和经济增长奇点效应。文章通过对新质生产力视域下人工智能自动化的深入分析,目的在于解释人工智能与经济增长的关键问题,研究人工智能自动化是什么特征、特质和特性的生产模型,产生什么样的生产力,如何产生的,有什么意义,为中国人工智能创新与经济发展提供智力支持。

【Abstract】 This paper explains the connotation, characteristics and significance of the concept of artificial intelligence automation from the perspective of new quality productive forces. Artificial intelligence automation is different from mechanical automation; it is the autonomous generation of organization and behavior. Its essential features are self-optimization mechanism, autonomous organization mechanism, and automatic behavior function. These traits and characteristics of artificial intelligence automation enable it to produce dual productivity in both direct and indirect aspects. The direct productivity and indirect productivity of artificial intelligence automation are compounded, generating effects such as a technology innovation growth rate exceeding the capital accumulation growth rate, the superimposed effect of capital productivity growth × technological productivity growth,and the economic growth singularity effect. Through an in-depth analysis of artificial intelligence automation from the perspective of new quality productive forces, this article aims to explain the key issues between artificial intelligence and economic growth, study the production model of artificial intelligence automation in terms of its characteristics, qualities, and traits, the type of productivity it generates, how it is generated, and its significance, providing intellectual support for China’s artificial intelligence innovation and economic development.

【基金】 国家社会科学基金重点项目“人工智能信息生产力模型系统构建研究”(编号:20AJY001);教育部人文社会科学规划基金项目“人工智能生产力理论模型与经济应用研究”(编号:18YJA790110)
  • 【文献出处】 北京科技大学学报(社会科学版) ,Journal of University of Science and Technology Beijing(Social Sciences Edition) , 编辑部邮箱 ,2026年03期
  • 【分类号】F124;TP18
  • 【下载频次】124
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