%A SHA Dechun, JING Jing %T Practical scenarios of artificial intelligence in the prevention and control of COVID-19 %0 Journal Article %D 2021 %J Science & Technology Review %R 10.3981/j.issn.1000-7857.2021.15.014 %P 135-141 %V 39 %N 15 %U {http://www.kjdb.org/CN/abstract/article_16473.shtml} %8 2021-08-13 %X In early 2020, COVID-19 outbroke in many countries around the world. Governments of various countries have since adopted diversified prevention and control measures to control the epidemic. Among them, AI has been an important auxiliary means that plays a unique role in prevention and control of COVID-19. The practical scenarios of AI assisting the prevention and control of COVID-19 have been focused on research field, mainly including epidemic monitoring and early warning, medical diagnosis, virus and drug research and development. The application of AI technology has significant effects on controlling the spread of the epidemic, alleviating the pressure of diagnosis and treatment and improving the efficiency of research and development. At the same time, AI is still facing practical problems such as regulations and ethics, data security, and algorithmic bias. Based on this, suggestions such as perfecting laws and regulations, ensuring data security, and strengthening talent training are proposed.