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人工智能助力新冠肺炎疫情抗击的产业生态研究 被引量:6

A Study on Industrial Ecology of Artificial Intelligence in the Fight Against COVID-19 Epidemic
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摘要 人工智能作为新一轮产业革命的核心驱动力,在抗击新冠肺炎疫情过程中发挥了重要作用。人工智能广泛地赋能以医疗产业为核心的疫情防控产业生态,在疫情监测与分析、病毒溯源、药物挖掘、疾病救治、防疫科普等核心应用场景中发挥了巨大的作用;同时,人工智能还通过赋能城市管理、远程办公、智能制造、在线教育、在线消费等场景,积极地助力抗击新冠肺炎疫情。人工智能未来将进一步深刻改变人类社会的生活方式、经济发展结构、就业结构、教育模式以及价值观念。面临技术变革带来的不确定性,政府与社会各界应该采取积极行动,努力探索发展人工智能的具体措施,从而为通过数字技术防控重大突发公共卫生事件提供技术支撑。 Artificial intelligence,the core driving force of the new industrial revolution,has played an important role in the fight against COVID-19.Artificial intelligence has been applied in the scenarios of epidemic analysis,virus tracing,drug screening,disease treatment,and epidemic publicity and prevention,etc.It has also helped combat the epidemic by enabling urban management,telecommuting,smart manufacturing,online education,and online consumption.This paper first reviews the definition and development of artificial intelligence and constructs an industrial ecological analysis framework focusing on the analysis of the specific application scenarios of artificial intelligence in these industries.We hold that artificial intelligence will further change the life style,economic structure,employment structure,education mode and values of human society.And we put suggestions that government and all walks of life take active actions to explore specific measures for further development of artificial intelligence so that we can answer the challenge of the uncertainty brought about by technological revolution and can be better equipped with and supported by artificial intelligence in preventing major public health crises.
作者 王岚 王凯 WANG Lan;WANG Kai(School of Economics,Zhengzhou University of Aeronautics,Zhengzhou Henan,450015,China;School of Business Administration,Henan University of Economics and Law,Zhengzhou Henan,450046,China)
出处 《西南石油大学学报(社会科学版)》 2020年第4期14-22,共9页 Journal of Southwest Petroleum University(Social Sciences Edition)
基金 河南省哲学社会科学规划项目“互联网+背景下河南省制造业转型升级研究”(2018BJJ011)。
关键词 人工智能 新型冠状病毒肺炎 疫情防控 产业生态 应用场景 artificial intelligence COVID-19 epidemic prevention and control industrial ecology application scenarios
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