Linked.Archi AI Ethics & Governance Metamodel Definition
Metamodel manifest for the AI Ethics & Governance extension. Ties together the AI governance ontology, SKOS taxonomy, SHACL shapes, and reference data into a single discoverable resource. This is the entry point for tools that need to discover all resources that make up the AI Ethics & Governance modeling vocabulary. Designed to compose with the ML-Enabled Systems extension — the ML extension provides the technical layer (models, pipelines, serving), while this extension provides the governance layer (risk classification, conformity assessment, bias assessment, human oversight).
Linked.Archi
AI Ethics & Governance Metamodel
The AI Ethics & Governance metamodel definition, aggregating the AI governance ontology, SKOS taxonomy, SHACL shapes, and reference data. Designed to be composed with the ML-Enabled Systems metamodel and other metamodels (ArchiMate, C4, Backstage) via owl:imports to add AI governance capabilities to any architecture description. Addresses the gap identified by Gartner 2025 Leadership Vision: EA teams lack AI ethics and governance frameworks. Provides formal ontology resources for EU AI Act compliance, OECD AI Principles, and organizational AI governance policies.