Busting myths and dispelling doubts about Covid-19

• Main Author: FINDLAY, Mark
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Pandemic; public health; artificial intelligence; data sharing; Covid; coronavirus; Singapore; Asian Studies; Computer Law; Health Law and Policy; Numerical Analysis and Scientific Computing; Public Health
• Online Access: https://ink.library.smu.edu.sg/sol_research/3166; https://ink.library.smu.edu.sg/context/sol_research/article/5124/viewcontent/Busting_myths_Covid_2020_7_21_BT_av.pdf
• Institution: Singapore Management University

The Centre for AI and Data Governance (CAIDG) at Singapore Management University (SMU) has embarked over past months on a programme of research designed to confront concerns about the pandemic and its control. Our interest is primarily directed to the ways in which AI-assisted technologies and mass data sharing have become a feature of pandemic control strategies. We want to know what impact these developments are having on community confidence and health safety. In developing this work, we have come across many myths that need busting.