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A researcher's guide for using personal data and non-personal data surrogates: synthetic data and data of deceased people
de Vries, Katja
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Law, Department of Law. LSTS (Vrije Universiteit Brussel).
(Public Law)
ORCID iD:
0000-0002-3028-6084
2022 (English)
In:
Law, AI and Digitalisation / [ed] Katja de Vries; Mattias Dahlberg, Uppsala: Iustus förlag, 2022, p. 117-140
Chapter in book (Refereed)
Place, publisher, year, edition, pages
Uppsala: Iustus förlag, 2022. p. 117-140
Series
De lege: årsbok / Juridiska fakulteten i Uppsala, ISSN 1102-3317 ; 2021
National Category
Law
Research subject
Artificial Intelligence; Public Law
Identifiers
URN:
urn:nbn:se:uu:diva-501668
ISBN:
978-91-7737-167-0 (print)
OAI: oai:DiVA.org:uu-501668
DiVA, id:
diva2:1756273
Projects
Cre-AI (Ragnar Söderberg foundation 2020-2024)
Funder
Ragnar Söderbergs stiftelse
Available from:
2023-05-11
Created:
2023-05-11
Last updated:
2023-05-11
Bibliographically approved
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de Vries, Katja
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vancouver
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ieee
modern-language-association
vancouver
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de-DE
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en-US
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