摘要
运用熵权法与层次分析法组合赋权,集成灰色综合评价,构建人工智能产业风险评价模型,对中、美、欧盟三大经济体人工智能产业风险进行评估。研究结果显示:美、欧人工智能产业风险为中等等级,而中国处于较高等级,且在产业创新能力、产业规模及产业能源消耗问题最为突出,最后结合研究结果提出降低中国人工智能产业风险对策建议。
Using the combination empowerment of entropy power method and hierarchical analysis method,the paper integrates the gray comprehensive evaluation,constructs the risk evaluation model of artificial intelligence industry,and evaluates the risk of artificial intelligence industry in the three major economies of China,the United States and the European Union.The results show that the risk of artificial intelligence industry in the United States and Europe is medium grade,while China is at a higher level;the problems of industrial innovation ability,industrial scale and industrial energy consumption are the most prominent;finally,combined with the results of the study,the countermeasures to reduce the risk of Chinese industrial intelligence industry are put forward.
作者
孙慧敏
谢庆红
吴斌
Sun Huimin;Xie Qinghong;Wu Bin(School of Economics and Management,Nanjing University of Technology,Nanjing 211816,China)
出处
《科技管理研究》
CSSCI
北大核心
2021年第17期170-178,共9页
Science and Technology Management Research
基金
国家社会科学基金重大项目“中国人工智能产业链韧性测度与提升机制研究”(20BGL025)。
关键词
人工智能
产业风险
组合赋权法
灰色综合评价
artificial intelligence
industrial risk
portfolio empowerment
gray comprehensive evaluation