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The novel coronavirus and its deadly outbreak have posed grand challenges tohuman society: as of March 26, 2020, there have been 85,377 confirmed cases and1,293 reported deaths in the United States; and the World Health Organization(WHO) characterized coronavirus disease (COVID-19) - which has infected morethan 531,000 people with more than 24,000 deaths in at least 171 countries - aglobal pandemic. A growing number of areas reporting local sub-nationalcommunity transmission would represent a significant turn for the worse in thebattle against the novel coronavirus, which points to an urgent need forexpanded surveillance so we can better understand the spread of COVID-19 andthus better respond with actionable strategies for community mitigation. Byadvancing capabilities of artificial intelligence (AI) and leveraging thelarge-scale and real-time data generated from heterogeneous sources (e.g.,disease related data from official public health organizations, demographicdata, mobility data, and user geneated data from social media), in this work,we propose and develop an AI-driven system (named $\alpha$-Satellite}, as aninitial offering, to provide hierarchical community-level risk assessment toassist with the development of strategies for combating the fast evolvingCOVID-19 pandemic. More specifically, given a specific location (either userinput or automatic positioning), the developed system will automaticallyprovide risk indexes associated with it in a hierarchical manner (e.g., state,county, city, specific location) to enable individuals to select appropriateactions for protection while minimizing disruptions to daily life to the extentpossible. The developed system and the generated benchmark datasets have beenmade publicly accessible through our website. The system description anddisclaimer are also available in our website.

$\alpha$-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19