Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114516
DC FieldValueLanguage
dc.creatorFung, Clare-
dc.creatorLo, Ada-
dc.identifier.urihttps://oer.lib.polyu.edu.hk/concern/works/g732d9552-
dc.language.isoeng-
dc.publisherHong Kong Polytechnic University-
dc.subjectComputer security-
dc.subjectEmployees -- Effect of technological innovations on-
dc.subjectData protection-
dc.subjectArtificial intelligence-
dc.titleLeveraging AI for Internal Communications: Opportunities and Challenges-
dc.typeCase Study-
dc.typeOER-
dcterms.abstractAI is transforming internal communications by enabling faster content creation, personalized messaging, and real-time translation, boosting productivity and engagement. However, challenges remain around content accuracy, potential bias, and data security, as organizations must ensure that AI-generated communications are reliable and sensitive information is protected from privacy and cybersecurity risks.-
dcterms.issued2025-
Appears in Collections:Open Educational Resources
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