AI-based healthcare: a new dawn or apartheid revisited?
Artificial intelligence
Bias
Healthcare
History
Mathematics
Journal
AI & society
ISSN: 0951-5666
Titre abrégé: AI Soc
Pays: Germany
ID NLM: 9883157
Informations de publication
Date de publication:
2021
2021
Historique:
received:
14
11
2020
accepted:
16
11
2020
pubmed:
29
12
2020
medline:
29
12
2020
entrez:
28
12
2020
Statut:
ppublish
Résumé
The Bubonic Plague outbreak that wormed its way through San Francisco's Chinatown in 1900 tells a story of prejudice guiding health policy, resulting in enormous suffering for much of its Chinese population. This article seeks to discuss the potential for hidden "prejudice" should Artificial Intelligence (AI) gain a dominant foothold in healthcare systems. Using a toy model, this piece explores potential future outcomes, should AI continue to develop without bound. Where potential dangers may lurk will be discussed, so that the full benefits AI has to offer can be reaped whilst avoiding the pitfalls. The model is produced using the computer programming language MATLAB and offers visual representations of potential outcomes. Interwoven with these potential outcomes are numerous historical models for problems caused by prejudice and recent issues in AI systems, from police prediction and facial recognition software to recruitment tools. Therefore, this research's novel angle, of using historical precedents to model and discuss potential futures, offers a unique contribution. The online version contains supplementary material available at 10.1007/s00146-020-01120-w.
Identifiants
pubmed: 33362363
doi: 10.1007/s00146-020-01120-w
pii: 1120
pmc: PMC7754701
doi:
Types de publication
Journal Article
Langues
eng
Pagination
983-999Subventions
Organisme : Medical Research Council
ID : MR/K000799/1
Pays : United Kingdom
Informations de copyright
© The Author(s) 2020.
Références
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pubmed: 28376093
Sci Rep. 2018 Sep 5;8(1):13247
pubmed: 30185868
BMC Nephrol. 2019 Feb 14;20(1):56
pubmed: 30764796