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

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 fr...

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Detalles Bibliográficos
Autores principales: El-Haddadeh, Ramzi, Fadlalla, Adam, Hindi, Nitham M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099995/
https://www.ncbi.nlm.nih.gov/pubmed/33972823
http://dx.doi.org/10.1007/s10796-021-10140-w
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author El-Haddadeh, Ramzi
Fadlalla, Adam
Hindi, Nitham M.
author_facet El-Haddadeh, Ramzi
Fadlalla, Adam
Hindi, Nitham M.
author_sort El-Haddadeh, Ramzi
collection PubMed
description 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.
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spelling pubmed-80999952021-05-06 Is There a Place for Responsible Artificial Intelligence in Pandemics? A Tale of Two Countries El-Haddadeh, Ramzi Fadlalla, Adam Hindi, Nitham M. Inf Syst Front Article 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. Springer US 2021-05-06 /pmc/articles/PMC8099995/ /pubmed/33972823 http://dx.doi.org/10.1007/s10796-021-10140-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
El-Haddadeh, Ramzi
Fadlalla, Adam
Hindi, Nitham M.
Is There a Place for Responsible Artificial Intelligence in Pandemics? A Tale of Two Countries
title Is There a Place for Responsible Artificial Intelligence in Pandemics? A Tale of Two Countries
title_full Is There a Place for Responsible Artificial Intelligence in Pandemics? A Tale of Two Countries
title_fullStr Is There a Place for Responsible Artificial Intelligence in Pandemics? A Tale of Two Countries
title_full_unstemmed Is There a Place for Responsible Artificial Intelligence in Pandemics? A Tale of Two Countries
title_short Is There a Place for Responsible Artificial Intelligence in Pandemics? A Tale of Two Countries
title_sort is there a place for responsible artificial intelligence in pandemics? a tale of two countries
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099995/
https://www.ncbi.nlm.nih.gov/pubmed/33972823
http://dx.doi.org/10.1007/s10796-021-10140-w
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