The AI-Ethics Ontology (AI-EO) is presented as an abstracted semantic infrastructure to foster convergence, interoperability, and operationalization of Trustworthy AI frameworks based on analysis of two case studies.
Getting formal ontologies closer to final users through knowledge graph visu- alization: interpretation and misinterpretation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
An ontological approach to foster the convergence, interoperability and operationalization of frameworks for Trustworthy AI
The AI-Ethics Ontology (AI-EO) is presented as an abstracted semantic infrastructure to foster convergence, interoperability, and operationalization of Trustworthy AI frameworks based on analysis of two case studies.