科技情报研究2025，Vol.7Issue(2)：13-22,10.DOI:10.19809/j.cnki.kjqbyj.2025.02.002
长三角地区人工智能政策文本量化评价研究
Research on Quantitative Evaluation of Artificial Intelligence Policy Texts in the Yangtze River Delta Region
摘要
Abstract
[Purpose/significance]The quantitative evaluation of existing effective artificial intelligence(AI)policies aims to provide reference for government department to formulate scientific and reasonable AI policies and promote the development of AI.[Method/process]Taking 10 AI policies in the Yangtze River Delta region from 2015 to 2024 as the research samples,the text mining method is used to construct the evaluation index system of AI policies in the Yangtze River Delta region,and conduct quantitative evaluation by combining the PMC index model.[Result/conclu-sion]The study found that from a macro policy text perspective,the average PMC index of the 10 AI policy samples in the Yangtze River Delta region was 7.11,indicating that the overall policy design was scientifically rational.From a micro policy text perspective,there were significant differences in the levels of AI policy texts in the Yangtze River Delta region.Based on the research conclusions,targeted policy improvement suggestions are proposed in terms of ex-panding the scope of policy targets,establishing a policy evaluation system,adjusting policy directions,and imple-menting policies tailored to local conditions.关键词
人工智能/政策评价/PMC指数模型Key words
artificial intelligence/policy evaluation/PMC index model引用本文复制引用
周瑛,杨丹婕,江美,赵晓春..长三角地区人工智能政策文本量化评价研究[J].科技情报研究,2025,7(2):13-22,10.基金项目
国家社会科学基金项目"数据治理背景下档案数据管理能力评价及提升研究"(编号:22BTQ089) （编号:22BTQ089）
