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.
Ontology-based approach for mapping concepts and requirements from regulations and standards: The case of the eu ai act and international standards
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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.