Ethics, AI, mass data and pandemic challenges: Responsible data use and infrastructure application for surveillance and pre-emptive tracing post-crisis

• Main Authors: FINDLAY, Mark, LOKE, Jia Yuan, REMOLINA LEON, Nydia, THAM, Yum Yin, Benjamin (TAN Renyan)
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: COVID-19; ethics; data protection; data use; data privacy; artificial intelligence; surveillance; tracing; big data; coronavirus; pandemic; Singapore; China; Asian Studies; Internet Law; Privacy Law; Public Health; Science and Technology Law
• Online Access: https://ink.library.smu.edu.sg/sol_research/3175; https://ink.library.smu.edu.sg/context/sol_research/article/5133/viewcontent/Ethics_AI_Mass_Data_wp.pdf
• Institution: Singapore Management University

As the COVID-19 health pandemic rages governments and private companies across the globe are utilising AI-assisted surveillance, reporting, mapping and tracing technologies with the intention of slowing the spread of the virus. These technologies have the capacity to amass personal data and share fo...