人工智能助力新冠肺炎疫情防控的实践情景

Practical scenarios of artificial intelligence in the prevention and control of COVID-19

分析了人工智能助力新冠肺炎疫情防控的实践情境,主要包括疫情监测预警、医疗诊断、病毒及药物研发等。人工智能技术的应用对控制疫情传播范围、缓解诊疗压力、提升研发效率等具有显著效果。根据人工智能助力疫情防控上面临的法规伦理、数据安全、算法偏见等现实难题,提出完善法律法规、保障数据安全、加强人才培养等发展建议。

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.