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Is There a Place for Responsible Artificial Intelligence in Pandemics? A Tale of Two Countries

Ramzi El-Haddadeh, Adam Fadlalla, Nitham Hindi

2021Information Systems Frontiers25 citationsDOIOpen Access PDF

Abstract

This research examines the considerations of responsible Artificial Intelligence in the deployment of AI-based COVID-19 digital proximity tracking and tracing applications in two countries; the State of Qatar and the United Kingdom. Based on the alignment level analysis with the Good AI Society's framework and sentiment analysis of official tweets, the diagnostic analysis resulted in contrastive findings for the two applications. While the application EHTERAZ (Arabic for precaution) in Qatar has fallen short in adhering to the responsible AI requirements, it has contributed significantly to controlling the pandemic. On the other hand, the UK's NHS COVID-19 application has exhibited limited success in fighting the virus despite relatively abiding by these requirements. This underlines the need for obtaining a practical and contextual view for a comprehensive discourse on responsible AI in healthcare. Thereby offering necessary guidance for striking a balance between responsible AI requirements and managing pressures towards fighting the pandemic.

Topics & Concepts

PandemicCoronavirus disease 2019 (COVID-19)Software deploymentComputer scienceArabicArtificial intelligence2019-20 coronavirus outbreakData scienceLinguisticsMedicineVirologyPathologyOutbreakOperating systemInfectious disease (medical specialty)PhilosophyDiseaseCOVID-19 Digital Contact TracingCOVID-19 diagnosis using AIMisinformation and Its Impacts
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