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Considerations for development and use of AI in response to COVID-19

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  • Sipior, Janice C.

Abstract

Artificial intelligence (AI) is playing a key supporting role in the fight against COVID-19 and perhaps will contribute to solutions quicker than we would otherwise achieve in many fields and applications. Since the outbreak of the pandemic, there has been an upsurge in the exploration and use of AI, and other data analytic tools, in a multitude of areas. This paper addresses some of the many considerations for managing the development and deployment of AI applications, including planning; unpredictable, unexpected, or biased results; repurposing; the importance of data; and diversity in AI team membership. We provide implications for research and for practice, according to each of the considerations. Finally we conclude that we need to plan and carefully consider the issues associated with the development and use of AI as we look for quick solutions.

Suggested Citation

  • Sipior, Janice C., 2020. "Considerations for development and use of AI in response to COVID-19," International Journal of Information Management, Elsevier, vol. 55(C).
    • Handle: RePEc:eee:ininma:v:55:y:2020:i:c:s026840122030949x
    DOI: 10.1016/j.ijinfomgt.2020.102170
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    Cited by:

    1. Shahriar Akter & Saida Sultana & Marcello Mariani & Samuel Fosso Wamba & Konstantina Spanaki & Yogesh Dwivedi, 2023. "Advancing algorithmic bias management capabilities in AI-driven marketing analytics research," Post-Print hal-04194438, HAL.
    2. Rathi, Sawan & Majumdar, Adrija & Chatterjee, Chirantan, 2024. "Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? New evidence from patenting data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    3. Galetsi, Panagiota & Katsaliaki, Korina & Kumar, Sameer, 2022. "The medical and societal impact of big data analytics and artificial intelligence applications in combating pandemics: A review focused on Covid-19," Social Science & Medicine, Elsevier, vol. 301(C).
    4. Singh, Nidhi & Jain, Monika & Kamal, Muhammad Mustafa & Bodhi, Rahul & Gupta, Bhumika, 2024. "Technological paradoxes and artificial intelligence implementation in healthcare. An application of paradox theory," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

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