Ontology highlight
ABSTRACT: Background
The COVID-19 pandemic has increased the importance of the deployment of digital detection surveillance systems to support early warning and monitoring of infectious diseases. These opportunities create a "double-edge sword," as the ethical governance of such approaches often lags behind technological achievements.Objective
The aim was to investigate ethical issues identified from utilizing artificial intelligence-augmented surveillance or early warning systems to monitor and detect common or novel infectious disease outbreaks.Methods
In a number of databases, we searched relevant articles that addressed ethical issues of using artificial intelligence, digital surveillance systems, early warning systems, and/or big data analytics technology for detecting,
SUBMITTER: Zhao IY
PROVIDER: S-EPMC8530254 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature