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.
Advances, challenges and opportunities in creating data for trustworthy ai.Nature Machine Intelligence, 4(8):669–677
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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.