论文标题
在开发针对Covid-19的AI解决方案时，考虑，良好实践，风险和陷阱
Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19
论文作者
论文摘要
1990年7月13日[1] [1]，共证于19日大流行一直是人类的重大挑战，有1,270万例确认的案件。在先前的工作中，我们描述了如何使用人工智能来解决大流行，并在分子，临床和社会尺度上应用[2]。在本文文章中，我们回顾了这三个研究方向，并评估所使用方法的成熟度和可行性水平，以及它们的操作潜力。我们还总结了一些常见的风险和实际陷阱，以及以不同尺度制定和部署AI应用程序的准则和最佳实践。
The COVID-19 pandemic has been a major challenge to humanity, with 12.7 million confirmed cases as of July 13th, 2020 [1]. In previous work, we described how Artificial Intelligence can be used to tackle the pandemic with applications at the molecular, clinical, and societal scales [2]. In the present follow-up article, we review these three research directions, and assess the level of maturity and feasibility of the approaches used, as well as their potential for operationalization. We also summarize some commonly encountered risks and practical pitfalls, as well as guidelines and best practices for formulating and deploying AI applications at different scales.
