中国人工智能发展评价指标体系构建与实证测度

Construction of the evaluation index system of China’s artificial intelligence development and empirical measurement

摘要:

全球人工智能技术发展处于早期阶段,为我国实现该领域的弯道超车提供了机遇期,而各地积极布局人工智能产业,也已取得了显著成效。为了解我国各区域人工智能发展水平状况,论文通过构建“三层四维”的人工智能发展水平测度指标体系,采用熵权法对我国30个省/直辖市/自治区2020年人工智能发展水平进行测度,并以此为基础,从指标体系的四个维度及总体分别展开测度结果分析。研究认为：(1)从综合测度结果来看,我国省域人工智能发展水平高低不一,具有区域不平衡、经济基础依赖与东高西低等三大特征；(2)从四个维度测度结果来看,创新实践维度对人工智能发展水平的贡献作用明显要优于其他三个维度,而创新支撑次之；(3)从各省域对比分析可知,广东、北京、江浙、上海等省域四个维度测度结果呈现出强者恒强的趋势,而宁夏、新疆、青海等西北地区的人工智能发展较为滞后。最后,论文针对中国人工智能发展提出一些针对性的建议。

Abstract:

The development of global artificial intelligence technology is at an early stage, providing an opportunity period for China to achieve curve overtaking in this field. Moreover, active layout of the artificial intelligence industry in various regions has also achieved significant results. In order to understand the development level of artificial intelligence in various regions of China, the paper adopts the entropy weight method to measure the development level of artificial intelligence in 30 provinces/municipalities/autonomous regions in 2020 by constructing a ?three levels and four dimensions? indicator system for measuring the development level of artificial intelligence. Based on this, the paper analyzes the measurement results from the four dimensions of the indicator system and the overall situation. The research believes that: (1) From the perspective of comprehensive measurement results, the development level of artificial intelligence in China’s provinces varies, with three major characteristics: regional imbalance, economic dependence, and high in the east and low in the west; (2) From the measurement results of the four dimensions, the contribution of the innovation practice dimension to the development level of artificial intelligence is significantly superior to the other three dimensions, followed by innovation support; (3) From the comparative analysis of various provinces, it can be seen that the measurement results of the four dimensions of Guangdong, Beijing, Jiangsu, Zhejiang, and Shanghai show a trend of constant strength, while the development of artificial intelligence in northwest regions such as Ningxia, Xinjiang, and Qinghai lags behind. Finally, the paper puts forward some targeted suggestions for the development of artificial intelligence in China.