Artificial Intelligence Against Covid-19: An Early Review

17 Pages Posted: 6 Apr 2020

See all articles by Wim Naudé

Wim Naudé

RWTH Aachen University; IZA Institute of Labor Economics; Maastricht School of Management

Abstract

Artificial Intelligence (AI) is a potentially powerful tool in the fight against the COVID- 19 pandemic. Since the outbreak of the pandemic, there has been a scramble to use AI. This article provides an early, and necessarily selective review, discussing the contribution of AI to the fight against COVID-19, as well as the current constraints on these contributions. Six areas where AI can contribute to the fight against COVID-19 are discussed, namely i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments and cures, and vi) social control. It is concluded that AI has not yet been impactful against COVID-19. Its use is hampered by a lack of data, and by too much data. Overcoming these constraints will require a careful balance between data privacy and public health, and rigorous human-AI interaction. It is unlikely that these will be addressed in time to be of much help during the present pandemic. In the meantime, extensive gathering of diagnostic data on who is infectious will be essential to save lives, train AI, and limit economic damages.

Keywords: data science, health, Coronavirus, COVID-19, artificial intelligence, development, technology, innovation

JEL Classification: O32, O39, I19, O20

Suggested Citation

Naudé, Wim, Artificial Intelligence Against Covid-19: An Early Review. IZA Discussion Paper No. 13110, Available at SSRN: https://ssrn.com/abstract=3568314

Wim Naudé (Contact Author)

RWTH Aachen University ( email )

Templergraben 55
52056 Aachen, 52056
Germany

IZA Institute of Labor Economics ( email )

P.O. Box 7240
Bonn, D-53072
Germany

Maastricht School of Management ( email )

Endepolsdomein 150
Maastricht, Limburg 6201 BE
Netherlands

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