Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19
Université de Montréal（蒙特利尔大学）；Mila Québec Artificial Intelligence Institute（米拉魁北克人工智能研究所）；United Nations Global Pulse（联合国全球脉动）；Institute for Data Science, Durham University（杜伦大学数据科学研究所）；NYU Stern School of Business（纽约大学斯特恩商学院）；Global Coordination Mechanism on NCDs, WHO（世界卫生组织非传染性疾病全球协调机制）
Alexandra Luccioni, Joseph Bullock, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel Luengo-Oroz
备注：
4 pages, 1 figure
发表信息：
Harvard CRCS Workshop on AI for Social Good, United States, 2020
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.
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United Nations Global Pulse（联合国全球脉动）；Institute for Data Science, Durham University（杜伦大学数据科学研究所）；Mila Québec Artificial Intelligence Institute（Mila魁北克人工智能研究所）；Université de Montréal（蒙特利尔大学）；NYU Stern School of Business（纽约大学斯特恩商学院）；World Health Organization（世界卫生组织）
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University of Texas at Dallas（德克萨斯大学达拉斯分校）；UT Southwestern（西南大学）；Plano Intelligence（普莱诺智能公司）
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University of Ottawa（渥太华大学）；Mila（米拉研究所）；The Alan Turing Institute（阿兰·图灵研究所）；University of Oxford（牛津大学）；University of Pennsylvania（宾夕法尼亚大学）；McGill University（麦吉尔大学）；Borden Ladner Gervais LLP（博登·拉德纳·热尔韦律师事务所）；The Decision Lab（决策实验室）；Max Planck Institute（马克斯·普朗克研究所）；University of Toronto（多伦多大学）
The SARS-CoV-2 (Covid-19) pandemic has caused significant strain on public health institutions around the world. Contact tracing is an essential tool to change the course of the Covid-19 pandemic. Manual contact tracing of Covid-19 cases has significant challenges that limit the ability of public health authorities to minimize community infections. Personalized peer-to-peer contact tracing through the use of mobile apps has the potential to shift the paradigm. Some countries have deployed centralized tracking systems, but more privacy-protecting decentralized systems offer much of the same ben…
