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Tytuł pozycji:

‘Leading by Science’ through Covid-19: the GDPR & Automated Decision-Making

Tytuł:
‘Leading by Science’ through Covid-19: the GDPR & Automated Decision-Making
Autorzy:
Miranda Jane Mourby
Temat:
Covid-19
Algorithms
Automated Decision-Making
General Data Protection Regulation
Demography. Population. Vital events
HB848-3697
Źródło:
International Journal of Population Data Science, Vol 5, Iss 4 (2021)
Wydawca:
Swansea University, 2021.
Rok publikacji:
2021
Kolekcja:
LCC:Demography. Population. Vital events
Typ dokumentu:
article
Opis pliku:
electronic resource
Język:
English
ISSN:
2399-4908
Relacje:
https://ijpds.org/article/view/1402; https://doaj.org/toc/2399-4908
DOI:
10.23889/ijpds.v5i4.1402
Dostęp URL:
https://doaj.org/article/b916b58156274fc18027d1964b15da5d  Link otwiera się w nowym oknie
Numer akcesji:
edsdoj.b916b58156274fc18027d1964b15da5d
Czasopismo naukowe
The UK government announced in March 2020 that it would create an NHS Covid-19 ‘Data Store’ from information routinely collected as part of the health service. This ‘Store’ would use a number of sources of population data to provide a ‘single source of truth’ about the spread of the coronavirus in England. The initiative illustrates the difficulty of relying on automated processing when making healthcare decisions under the General Data Protection Regulation (GDPR). The end-product of the store, a number of ‘dashboards’ for decision-makers, was intended to include models and simulations developed through artificial intelligence. Decisions made on the basis of these dashboards would be significant, even (it was suggested) to the point of diverting patients and critical resources between hospitals based on their predictions. How these models will be developed, and externally validated, remains unclear. This is an issue if they are intended to be used for decisions which will affect patients so directly and acutely. We have (by default) a right under the GDPR not to be subject to significant decisions based solely on automated decision-making. It is not obvious, at present, whether resource allocation within the NHS could take place in reliance on this automated modelling. The recent A Level debacle illustrates, in the context of education, the risks of basing life-changing decisions on the national application of a single equation. It is worth considering the potential consequences for the health service if the NHS Data Store is used for resource planning as part of the Covid-19 response.

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