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Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19

The COVID-19 pandemic is presenting a disproportionate impact on minorities in terms of infection rate, hospitalizations, and mortality. Many believe artificial intelligence (AI) is a solution to guide clinical decision-making for this novel disease, resulting in the rapid dissemination of underdeve...

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Detalles Bibliográficos
Autores principales: Röösli, Eliane, Rice, Brian, Hernandez-Boussard, Tina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7454645/
https://www.ncbi.nlm.nih.gov/pubmed/32805004
http://dx.doi.org/10.1093/jamia/ocaa210
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author Röösli, Eliane
Rice, Brian
Hernandez-Boussard, Tina
author_facet Röösli, Eliane
Rice, Brian
Hernandez-Boussard, Tina
author_sort Röösli, Eliane
collection PubMed
description The COVID-19 pandemic is presenting a disproportionate impact on minorities in terms of infection rate, hospitalizations, and mortality. Many believe artificial intelligence (AI) is a solution to guide clinical decision-making for this novel disease, resulting in the rapid dissemination of underdeveloped and potentially biased models, which may exacerbate the disparities gap. We believe there is an urgent need to enforce the systematic use of reporting standards and develop regulatory frameworks for a shared COVID-19 data source to address the challenges of bias in AI during this pandemic. There is hope that AI can help guide treatment decisions within this crisis; yet given the pervasiveness of biases, a failure to proactively develop comprehensive mitigation strategies during the COVID-19 pandemic risks exacerbating existing health disparities.
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spelling pubmed-74546452020-08-31 Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19 Röösli, Eliane Rice, Brian Hernandez-Boussard, Tina J Am Med Inform Assoc Perspective The COVID-19 pandemic is presenting a disproportionate impact on minorities in terms of infection rate, hospitalizations, and mortality. Many believe artificial intelligence (AI) is a solution to guide clinical decision-making for this novel disease, resulting in the rapid dissemination of underdeveloped and potentially biased models, which may exacerbate the disparities gap. We believe there is an urgent need to enforce the systematic use of reporting standards and develop regulatory frameworks for a shared COVID-19 data source to address the challenges of bias in AI during this pandemic. There is hope that AI can help guide treatment decisions within this crisis; yet given the pervasiveness of biases, a failure to proactively develop comprehensive mitigation strategies during the COVID-19 pandemic risks exacerbating existing health disparities. Oxford University Press 2020-08-17 /pmc/articles/PMC7454645/ /pubmed/32805004 http://dx.doi.org/10.1093/jamia/ocaa210 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
spellingShingle Perspective
Röösli, Eliane
Rice, Brian
Hernandez-Boussard, Tina
Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19
title Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19
title_full Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19
title_fullStr Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19
title_full_unstemmed Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19
title_short Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19
title_sort bias at warp speed: how ai may contribute to the disparities gap in the time of covid-19
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7454645/
https://www.ncbi.nlm.nih.gov/pubmed/32805004
http://dx.doi.org/10.1093/jamia/ocaa210
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