Artificial Intelligence in Knowledge Representation, Organization and Discovery
Key Competencies and Design Considerations
Bibliographic Data
| ID | 22097131 |
|---|---|
| Authors | Lala Hajibayova (0000-0001-8358-9858, Kent State University), Seungmin Lee (0000-0001-6516-8961, Chung-Ang University) |
| Year | 2025 |
| Pages | 12-21 |
| Publication date | 2025-09-05 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | NASKO (JOURNAL) |
| Journal identifiers | ISSN: 2311-4487 • E-ISSN: 2311-4487 |
| Publisher | University of Washington Libraries (PUBLISHER) |
| DOI | 10.7152/nasko.v7i1.95644 |
| OpenAlex | W4414087834 |
| Language | EN |
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 cited | No |
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