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dc.contributor.authorBruvere, Annaen
dc.contributor.authorLovic, Victoren
dc.date.accessioned2021-04-19T23:30:12Z
dc.date.available2021-04-19T23:30:12Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/321272
dc.description.abstractA widely accepted method for addressing digital privacy concerns is the use of informed consent: asking users to agree to privacy policies and consent to the use of their personal data. This approach has come under strain with the emergence of “big data” in which large datasets are collected and analysed. This paper argues that since individuals do not understand or even read the privacy policies they agree to, informed consent ultimately fails to protect privacy. Following the work of Solon Barocas and Helen Nissenbaum, this paper proposes an updated definition of informed consent and argues that the responsibility of protecting privacy should be shifted from individuals to organisations.
dc.publisherCUSPE (Cambridge University Science and Policy Exchange)
dc.rightsAttribution 4.0 International (CC BY)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPrivacyen
dc.subjectInformed consenten
dc.subjectBig dataen
dc.titleRethinking Informed Consent in the Context of Big Dataen
dc.typeArticle
prism.issueIdentifier2en
prism.publicationNameCambridge Journal of Science and Policyen
prism.volume2en
dc.identifier.doi10.17863/CAM.68396
pubs.declined2021-03-20T21:05:22.483+0000
dcterms.dateAccepted2021-03-07en
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2021-03-07en
rioxxterms.typeJournal Article/Reviewen
cam.issuedOnline2021-03-20en


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Attribution 4.0 International (CC BY)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY)