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Artificial intelligence and the politics of avoidance in global health.
- Source :
-
Social science & medicine (1982) [Soc Sci Med] 2024 Oct; Vol. 359, pp. 117274. Date of Electronic Publication: 2024 Aug 26. - Publication Year :
- 2024
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Abstract
- For decades, global health actors have centered technology in their interventions. Today, artificial intelligence (AI) is emerging as the latest technology-based solution in global health. Yet, AI, like other technological interventions, is not a comprehensive solution to the fundamental determinants of global health inequities. This article gathers and critically appraises grey and peer-reviewed literature on AI in global health to explore the question: What is avoided when global health prioritizes technological solutions to problems with deep-seated political, economic, and commercial determinants? Our literature search and selection yielded 34 documents, which we analyzed to develop seven areas where AI both continues and disrupts past legacies of technological interventions in global health, with significant implications for health equity and human rights. By focusing on the power dynamics that underpin AI's expansion in global health, we situate it as the latest in a long line of technological interventions that avoids addressing the fundamental determinants of health inequities, albeit at times differently than its technology-based predecessors. We call this phenomenon the 'politics of avoidance.' We conclude with reflections on how the literature we reviewed engages with and recognizes the politics of avoidance and with suggestions for future research, practice, and advocacy.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-5347
- Volume :
- 359
- Database :
- MEDLINE
- Journal :
- Social science & medicine (1982)
- Publication Type :
- Academic Journal
- Accession number :
- 39217716
- Full Text :
- https://doi.org/10.1016/j.socscimed.2024.117274