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AI and the everyday political economy of global health

Strange, Michael and Tucker, Jason LU (2023) p.367-377
Abstract
In the last few years, we have seen an explosion in the scale and scope of AI health, a trend only exacerbated by COVID-19. Due to the uptake of AI applications in health, the global health landscape has seen significant shifts. To help understand this development and how best to achieve the potential of AI health technologies, it is necessary to critically look at the global political economy through which AI health technologies are made possible. There is a need to see this political economy as embedded in the everyday relations through which healthcare functions. The everyday level of how patients and healthcare professionals engage with AI health technology is essential to knowing how these new tools can help tackle forms of... (More)
In the last few years, we have seen an explosion in the scale and scope of AI health, a trend only exacerbated by COVID-19. Due to the uptake of AI applications in health, the global health landscape has seen significant shifts. To help understand this development and how best to achieve the potential of AI health technologies, it is necessary to critically look at the global political economy through which AI health technologies are made possible. There is a need to see this political economy as embedded in the everyday relations through which healthcare functions. The everyday level of how patients and healthcare professionals engage with AI health technology is essential to knowing how these new tools can help tackle forms of discrimination and other obstacles currently preventing universal health coverage. (Less)
Please use this url to cite or link to this publication:
author
and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Healthcare, Ownership, Everyday, Political economy, Artificial intelligence, Critical
host publication
Handbook of Critical Studies of Artificial Intelligence
editor
Lindgren, Simon
pages
367 - 377
publisher
Edward Elgar Publishing Ltd.
external identifiers
  • scopus:85181789202
ISBN
9781803928555
9781803928562
DOI
10.4337/9781803928562.00039
project
Politics of AI & Health: From Snake Oil to Social Good - Funded by Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS)
language
English
LU publication?
no
id
7d75b8b8-9c09-40ab-976b-e8677e5aa97c
date added to LUP
2024-09-12 09:28:55
date last changed
2025-07-05 08:33:23
@inbook{7d75b8b8-9c09-40ab-976b-e8677e5aa97c,
  abstract     = {{In the last few years, we have seen an explosion in the scale and scope of AI health, a trend only exacerbated by COVID-19. Due to the uptake of AI applications in health, the global health landscape has seen significant shifts. To help understand this development and how best to achieve the potential of AI health technologies, it is necessary to critically look at the global political economy through which AI health technologies are made possible. There is a need to see this political economy as embedded in the everyday relations through which healthcare functions. The everyday level of how patients and healthcare professionals engage with AI health technology is essential to knowing how these new tools can help tackle forms of discrimination and other obstacles currently preventing universal health coverage.}},
  author       = {{Strange, Michael and Tucker, Jason}},
  booktitle    = {{Handbook of Critical Studies of Artificial Intelligence}},
  editor       = {{Lindgren, Simon}},
  isbn         = {{9781803928555}},
  keywords     = {{Healthcare; Ownership; Everyday; Political economy; Artificial intelligence; Critical}},
  language     = {{eng}},
  month        = {{11}},
  pages        = {{367--377}},
  publisher    = {{Edward Elgar Publishing Ltd.}},
  title        = {{AI and the everyday political economy of global health}},
  url          = {{http://dx.doi.org/10.4337/9781803928562.00039}},
  doi          = {{10.4337/9781803928562.00039}},
  year         = {{2023}},
}