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

Author

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  • Ramzi El-Haddadeh

    (Qatar University)

  • Adam Fadlalla

    (Qatar University)

  • Nitham M. Hindi

    (Qatar University)

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.

Suggested Citation

  • Ramzi El-Haddadeh & Adam Fadlalla & Nitham M. Hindi, 2023. "Is There a Place for Responsible Artificial Intelligence in Pandemics? A Tale of Two Countries," Information Systems Frontiers, Springer, vol. 25(6), pages 2221-2237, December.
    • Handle: RePEc:spr:infosf:v:25:y:2023:i:6:d:10.1007_s10796-021-10140-w
    DOI: 10.1007/s10796-021-10140-w
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    References listed on IDEAS

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    1. Zhang, Marina Yue, 2016. "Meso-level factors in technological transitions: The development of TD-SCDMA in China," Research Policy, Elsevier, vol. 45(2), pages 546-559.
    2. Constantiou, Ioanna D & Kallinikos, Jannis, 2015. "New games, new rules: big data and the changing context of strategy," LSE Research Online Documents on Economics 63017, London School of Economics and Political Science, LSE Library.
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    1. Uthayasankar Sivarajah & Yichuan Wang & Hossein Olya & Sherin Mathew, 2023. "Responsible Artificial Intelligence (AI) for Digital Health and Medical Analytics," Information Systems Frontiers, Springer, vol. 25(6), pages 2117-2122, December.

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