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Artificial intelligence and its implications for data privacy

dc.contributor.authorMartin, Kelly D
dc.contributor.authorZimmermann, Johanna
dc.date.accessioned2025-11-10T07:47:13Z
dc.date.issued2024
dc.descriptionJournal Article, Workwell: Research Unit for Economic; Management Sciences, North West University. Potchefstroom
dc.description.abstractContemporary, multidisciplinary research sheds light on data privacy implications of artificial intelligence (AI). This review adopts an AI ecosystem perspective and proposes a processoutcome continuum to classify AI technologies; this perspective helps to understand the nuances of AI relative to psychological aspects of privacy decision-making. Specifically, different types of AI affect traditionally studied privacy decisionmaking frameworks including the privacy calculus, psychological ownership, and social influence in varied ways. By understanding how the process- or outcome-orientation of an AItechnology affects privacy decision-making, we explain how AI creates privacy benefits but also poses challenges. Future research is needed across privacy decision-making, but also more generally at the intersection of privacy and AI, to help foster an ethical, sustainable society.
dc.identifier.citationMartin, K.D. and Zimmermann, J., 2024. Artificial intelligence and its implications for data privacy. Current opinion in psychology,Vol 58 ,https://doi.org/10.1016/j.copsyc.2024.101829
dc.identifier.issn2352-250X
dc.identifier.urihttp://hdl.handle.net/10394/43972
dc.language.isoen
dc.publisherElsevier B.V.
dc.subjectData privacy
dc.subjectPrivacy calculus
dc.subjectArtificial intelligence
dc.subjectPsychological ownership.
dc.titleArtificial intelligence and its implications for data privacy
dc.typeArticle

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