Does "AI" stand for augmenting inequality in the era of covid-19 healthcare?

David Leslie; Anjali Mazumder; Aidan Peppin; Maria K Wolters; Alexa Hagerty

doi:10.1136/bmj.n304

Does "AI" stand for augmenting inequality in the era of covid-19 healthcare?

David Leslie, Anjali Mazumder, Aidan Peppin, Maria K Wolters, Alexa Hagerty

Research output: Contribution to journal › Article › peer-review

Abstract

Artificial intelligence can help tackle the covid-19 pandemic, but bias and discrimination in its design and deployment risk exacerbating existing health inequity argue David Leslie and colleagues

Original language	English
Article number	n304
Number of pages	5
Journal	BMJ (Clinical research ed.)
Volume	372
DOIs	https://doi.org/10.1136/bmj.n304
Publication status	Published - 16 Mar 2021

Keywords / Materials (for Non-textual outputs)

Artificial Intelligence
Bias
COVID-19
Datasets as Topic
Healthcare Disparities
Humans
SARS-CoV-2
Social Determinants of Health
Social Discrimination

Access to Document

10.1136/bmj.n304Licence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)

Does “AI” stand for augmenting_LESLIE_DOA12022021_VOR_CC-BY-NCFinal published version, 448 KBLicence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)

https://www.bmj.com/content/bmj/372/bmj.n304.full.pdfLicence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)

Cite this

@article{401a5de268184e1e8ea80579e080fb66,

title = "Does {"}AI{"} stand for augmenting inequality in the era of covid-19 healthcare?",

abstract = "Artificial intelligence can help tackle the covid-19 pandemic, but bias and discrimination in its design and deployment risk exacerbating existing health inequity argue David Leslie and colleagues",

keywords = "Artificial Intelligence, Bias, COVID-19, Datasets as Topic, Healthcare Disparities, Humans, SARS-CoV-2, Social Determinants of Health, Social Discrimination",

author = "David Leslie and Anjali Mazumder and Aidan Peppin and Wolters, {Maria K} and Alexa Hagerty",

year = "2021",

month = mar,

day = "16",

doi = "10.1136/bmj.n304",

language = "English",

volume = "372",

journal = "BMJ (Clinical research ed.)",