Automating COVID responses: The impact of automated decision-making on the COVID-19 pandemic Tracing The Tracers 2021 report

Open Access
Authors
  • N. Appelman ORCID logo
  • R. van Brakel
  • J.M. Calatayud
  • E. Chelioudakis
  • F. Chiusi
  • K. Izdebski
  • A. Kaun
  • M. Männiste
  • R. Ó Fathaigh ORCID logo
  • J. Toh
  • B. Visser
  • C. Wladdimiro Quevedo
Publication date 12-2021
Number of pages 46
Publisher Berlin: AlgorithmWatch
Organisations
  • Faculty of Law (FdR) - Institute for Information Law (IViR)
  • Interfacultary Research
Abstract
In an unprecedented global social experiment in health surveillance, a plethora of automated decisionmaking (ADM) systems — including systems based on artificial intelligence (AI) — were deployed during the COVID-19 pandemic. They were supposed to tackle fundamental public health issues. Nonetheless, too often, they were adopted with almost no transparency, no evidence of their efficacy, no adequate safeguards, and insufficient democratic debate. This report is the result of yearlong monitoring of the rollout and use of such systems, documented in our Tracing The Tracers project. In this final report, we will provide an early overall assessment of the main trends and developments concerning ADM-based responses to COVID-19.
Document type Report
Language English
Published at https://algorithmwatch.org/en/tracing-the-tracers/2021-report/
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