产业智能化的发展机理、影响因素及对策建议——基于行业专家访谈的质性研究

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摘要中国经济正处在由高速增长向高质量发展的转换阶段,研究人工智能技术对产业升级和实体经济赋能的作用机理,探析影响产业智能化的影响因素并提出有针对性的对策建议,对于中国经济高质量发展具有十分重要的作用。本文系统梳理和比较了国内外相关文献,利用质性研究方法,对14位行业专家进行访谈和内容编码。研究发现:国外产业智能化相关研究偏重于算法和解决方案;国内相关研究聚焦于政策和事实性分析;人工智能技术通过对生产资料、生产力和生产方式的改变实现产业价值创造,通过优化产业链、丰富创新链、拓展价值链等实现实体经济赋能;技术成熟度不高、行业数据获取困难、数字化水平滞后、智能化转型成本制约、智能基础设施不完善、人才严重缺乏等是产业智能化的主要影响因素。

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	韩秋明
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关键词 ：人工智能, 产业智能化, 实体经济赋能, 智能经济

Abstract：The China's economy is in the transition stage from high-speed growth to high-quality development.It is very important for the high-quality development of China's economy to study the mechanism of artificial intelligence (AI)technology on industrial upgrading and the empowerment of the real economy,analyze the influencing factors that affect industrial intelligence,and propose targeted countermeasures.Systematically combing and comparing relevant domestic and foreign literature,the author interviews 14 industrial intelligence research experts by using qualitative research methods.This paper finds the followings.Foreign industrial intelligence research focuses more on algorithms and solutions while domestic research focuses on policy and factual analysis.AI technology realizes the creation of industrial value by changing the means of production,productivity and production methods and realizes the empowerment of the real economy by optimizing the industrial chain,enriching the innovation chain and expanding the value chain.Low technological maturity,difficulty in obtaining industry data,lagging digitization level,cost constraints of intelligent transformation,imperfect intelligent infrastructure,and severe shortage of talents are the main factors affecting the industrial intelligence.

Key words： Artificial intelligence Industrial intelligence Empowerment of the Real Economy Intelligent economy

收稿日期: 2021-03-29

PACS:

基金资助:科技创新2030新一代人工智能重大项目 “人工智能对产业变革及劳动力就业的影响研究” (2020AAA0105302),科技创新战略研究专项 “新一代信息技术支撑治理体系和治理能力现代化研究” (ZLY202016),北京市科技政策研究与决策咨询专项 “第六次技术预测背景下北京率先突破的研究方向和关键技术以及优先发展的衍生产业研究” (Z201100000520026)。

作者简介: 韩秋明 (1984-),男,河北石家庄人,前沿科学与先进技术发展研究所副研究员,研究方向为技术预测和评价、人工智能。

引用本文:

韩秋明, 王书华, 杨学成, 李京望. 产业智能化的发展机理、影响因素及对策建议——基于行业专家访谈的质性研究[J]. 中国科技论坛, 2021(8): 59-69.
Han Qiuming, Wang Shuhua, Yang Xuecheng, Li Jingwang. Research on the Mechanism,Influencing Factors and Countermeasures of Industrial Intelligence Development. , 2021(8): 59-69.

链接本文:

http://www.zgkjlt.org.cn/CN/Y2021/I8/59

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