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Article: Artificial Intelligence Risks in Data Protection: A Governance Perspective

TitleArtificial Intelligence Risks in Data Protection: A Governance Perspective
Authors
Issue Date20-Nov-2024
PublisherNinehills Media
Citation
CGj: The Journal of Hong Kong Chartered Governance Institute, 2024 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/357333
ISSN

 

DC FieldValueLanguage
dc.contributor.authorYoung, Angus Lester Ee Ken-
dc.date.accessioned2025-06-23T08:54:46Z-
dc.date.available2025-06-23T08:54:46Z-
dc.date.issued2024-11-20-
dc.identifier.citationCGj: The Journal of Hong Kong Chartered Governance Institute, 2024-
dc.identifier.issn1023-4128-
dc.identifier.urihttp://hdl.handle.net/10722/357333-
dc.languageeng-
dc.publisherNinehills Media-
dc.relation.ispartofCGj: The Journal of Hong Kong Chartered Governance Institute-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleArtificial Intelligence Risks in Data Protection: A Governance Perspective-
dc.typeArticle-
dc.description.naturepreprint-
dc.identifier.issnl1023-4128-

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