Linked.Archi AI Governance Taxonomy
SKOS taxonomy classifying AI governance concepts by risk level, principle, lifecycle phase, and assessment type.
Linked.Archi
AI Governance Concept Scheme
Classification of AI governance concepts by risk level, principle, lifecycle phase, and assessment type.
By Risk Level
Unacceptable Risk
Prohibited AI practices under EU AI Act Article 5.
High Risk
AI systems in Annex III domains requiring conformity assessment.
Critical Infrastructure
AI in management and operation of critical infrastructure (energy, transport, water).
Employment & Workers
AI in recruitment, selection, HR decisions, task allocation, and monitoring.
Law Enforcement
AI in policing, criminal justice risk assessment, and evidence evaluation.
Migration & Border Control
AI in asylum, visa, and border management decisions.
Education & Training
AI in student assessment, admission, and learning path determination.
Essential Services
AI in credit scoring, insurance pricing, and access to essential services.
Limited Risk
AI systems with transparency obligations (chatbots, deepfakes, emotion recognition).
Minimal Risk
AI systems with no specific obligations (voluntary codes of conduct).
By Principle
Fairness
Transparency
Accountability
Safety & Robustness
Privacy & Data Governance
Human Agency & Oversight
Societal & Environmental Wellbeing
By Lifecycle Phase
Design & Development
Governance activities during AI system design and development — risk assessment, data governance, bias prevention.
Testing & Validation
Governance activities during testing — conformity assessment, bias testing, explainability validation.
Deployment
Governance activities at deployment — transparency disclosure, human oversight activation, registration.
Monitoring & Maintenance
Ongoing governance — incident tracking, periodic reassessment, drift monitoring, compliance reporting.
Decommissioning
Governance activities at end-of-life — data retention, model archival, notification of affected parties.
By Assessment Type
Conformity Assessment
Formal assessment against regulatory requirements.
Bias Assessment
Assessment of bias in data, model, or deployment context.
Explainability Assessment
Assessment of AI system explainability and interpretability.
Human Oversight Assessment
Assessment of human oversight adequacy.
Data Governance Assessment
Assessment of data governance measures for training and evaluation data.