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Artificial Intelligence in Knowledge Representation, Organization and Discovery

Key Competencies and Design Considerations

Bibliographic Data

ID22097131
AuthorsLala Hajibayova (0000-0001-8358-9858, Kent State University), Seungmin Lee (0000-0001-6516-8961, Chung-Ang University)
Year2025
Pages12-21
Publication date2025-09-05
Open AccessYes
TypeARTICLE
VenueNASKO (JOURNAL)
Journal identifiersISSN: 2311-4487 • E-ISSN: 2311-4487
PublisherUniversity of Washington Libraries (PUBLISHER)
DOI10.7152/nasko.v7i1.95644
OpenAlexW4414087834
LanguageEN

skills and competencies to navigate the ethical challenges inherent in these technologies. There are several ethical concerns associated with the application of AI technologies, including the accuracy of AI-generated information, biases embedded in AI training data, privacy and surveillance risks, and potential negative impact of AI on career paths.. Ethical application of artificial intelligence technologies requires thoughtful design of knowledge representation and organization systems to ensure transparency, explainability, contextualization, and critical reflection throughout the technology- driven processes of knowledge representation, organization and discovery. This paper examines the essential skills, competencies, and design considerations required for the ethical application of AI technologies in knowledge representation, organization and discovery

Applications of artificial intelligence · Knowledge representation and reasoning · Big Data and Business Intelligence

Highly citedNo

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