At the Crossroads of Data Justice and Data Capitalism: How Generative AI in Healthcare Mobilises Its Assemblages.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: At the Crossroads of Data Justice and Data Capitalism: How Generative AI in Healthcare Mobilises Its Assemblages.
Συγγραφείς: Gross N; National College of Ireland, School of Business and Social Sciences, Dublin, Ireland., Geiger S; College of Business, University College Dublin, Dublin, Ireland.
Πηγή: Sociology of health & illness [Sociol Health Illn] 2026 Feb; Vol. 48 (2), pp. e70150.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Blackwell Publishing Country of Publication: England NLM ID: 8205036 Publication Model: Print Cited Medium: Internet ISSN: 1467-9566 (Electronic) Linking ISSN: 01419889 NLM ISO Abbreviation: Sociol Health Illn Subsets: MEDLINE
Imprint Name(s): Publication: <2003->: Oxford ; Malden, MA : Blackwell Publishing
Original Publication: Henley-on-Thames ; Boston, Mass. : Routledge & Kegan Paul
Ιατρικοί όροι (MeSH): Delivery of Health Care*/organization & administration , Generative Artificial Intelligence* , Social Justice* , Capitalism* , Artificial Intelligence*, Humans
Περίληψη: Algorithmic technologies such as machine learning, generative artificial intelligence (GenAI) and automated decision-making have become one of the frontiers of contemporary technoscientific innovation in healthcare. However, algorithmic technologies can never be seen in isolation from the networks in which they are embedded. Not only are they woven into situated sociotechnical assemblages of human and nonhuman entities-tools, objects and other technologies-but their entanglements also reach into regulatory institutions and markets. This paper conceptualises GenAI in healthcare 'in the making' at the rapidly changing intersection of three spheres: regulatory, market and healthcare delivery. Our study, conducted in conjunction with two nongovernmental social justice organisations, explores how this intersection is currently 'motored' by data justice concerns on the one hand and data capitalist objectives on the other. We draw health sociologists' attention to the technopolitics and market interests that lie behind AI promissories and implementations in healthcare. More importantly, we contribute to collective thinking around how we may steer this dynamic towards the empowerment of civic society, dynamic regulation and a push for public value-rather than enrichment of the few.
(© 2026 The Author(s). Sociology of Health & Illness published by John Wiley & Sons Ltd on behalf of Foundation for the Sociology of Health & Illness.)
References: Glob Public Health. 2025 Dec;20(1):2450403. (PMID: 39789994)
Health Place. 2023 Sep;83:103107. (PMID: 37683402)
Inf Commun Soc. 2024 Jun 4;27(15):2587-2599. (PMID: 39802962)
NPJ Digit Med. 2018 Oct 2;1:53. (PMID: 31304332)
Sociol Health Illn. 2024 Feb;46(2):200-218. (PMID: 37573551)
Sociol Health Illn. 2026 Feb;48(2):e70150. (PMID: 41612854)
Health Policy. 2023 Sep;135:104861. (PMID: 37399677)
J Med Internet Res. 2020 Mar 27;22(3):e15816. (PMID: 32217501)
Sociol Health Illn. 2024 Jan;46(1):3-18. (PMID: 37314112)
BMJ. 2025 Jun 27;389:r1332. (PMID: 40578852)
Sociol Health Illn. 2025 Jan;47(1):e13840. (PMID: 39311476)
N Engl J Med. 2024 Jan 18;390(3):271-278. (PMID: 38231630)
Health Policy. 2024 Nov;149:105152. (PMID: 39244818)
BMJ. 2022 Jun 27;377:e070876. (PMID: 35760419)
NPJ Digit Med. 2023 Feb 28;6(1):30. (PMID: 36854964)
Soc Stud Sci. 2019 Aug;49(4):459-475. (PMID: 31382859)
Sociol Health Illn. 2024 Nov;46(8):1808-1827. (PMID: 39037701)
Med Health Care Philos. 2021 Sep;24(3):315-327. (PMID: 33721157)
Sociol Health Illn. 2019 Oct;41 Suppl 1:176-192. (PMID: 31599986)
Grant Information: NF/2023/1782 Irish Research Council
Contributed Indexing: Keywords: data capitalism; data justice; generative AI; healthcare; markets; sociotechnical assemblages
Entry Date(s): Date Created: 20260130 Date Completed: 20260701 Latest Revision: 20260701
Update Code: 20260701
PubMed Central ID: PMC12856386
DOI: 10.1111/1467-9566.70150
PMID: 41612854
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1467-9566
DOI:10.1111/1467-9566.70150