Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020;35(3):761-765.
doi: 10.1007/s00146-020-00978-0. Epub 2020 Apr 28.

Artificial intelligence vs COVID-19: limitations, constraints and pitfalls

Wim Naudé  1
Affiliations

Artificial intelligence vs COVID-19: limitations, constraints and pitfalls

Wim Naudé. AI Soc. 2020.

Abstract

This paper provides an early evaluation of Artificial Intelligence (AI) against COVID-19. The main areas where AI can contribute to the fight against COVID-19 are discussed. 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: AI; COVID-19; Data science; Public health; Surveillance.

PubMed Disclaimer

References

    1. Akhtar M, Kraemer M, Gardner L. A Dynamic neural network model for predicting risk of Zika in real time. BMC Med. 2019 doi: 10.1186/s12916-019-1389-3. - DOI - PMC - PubMed
    1. Beck B, Shin B, Choi Y, Park S, Kang K. Predicting commercially available antiviral drugs that may act on the novel coronavirus (2019-nCoV), Wuhan, China through a drug-target interaction deep learning model. bioRxiv. 2020 doi: 10.1101/2020.01.31.929547. - DOI - PMC - PubMed
    1. Bullock J, Luccioni A, Pham KH, Lam CSN, Luengo-Oroz M (2020) Mapping the landscape of artificial intelligence applications against COVID-19. ArXiv, https://arxiv.org/abs/2003.11336v1
    1. Carroll J (2020) Coronavirus outbreak: can machine vision and imaging play a part? Vis Syst Des (19th March)
    1. Chen E, Lerman K, Ferrara E (2020a). COVID-19: the first public coronavirus Twitter dataset. ArXiv, https://arxiv.org/abs/2003.07372v1 (16 March)

LinkOut - more resources