Concept
AI Governance
The controls, policies, accountability, and assurance practices for AI systems.
Position in the Trusted Data Framework
AI Governance
Living Graph View
AI Governance in the concept network
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Relationship Matrix
AI Governance as a network node
Controls how AI uses knowledge and produces conclusions.
Defines what agents can do, what tools they can use, and who is accountable.
Requires provenance to explain and audit AI outputs.
Concept Relationships
How AI Governance works with other concepts
Controls how AI uses knowledge and produces conclusions.
Defines what agents can do, what tools they can use, and who is accountable.
Requires provenance to explain and audit AI outputs.
Definition
AI Governance defines how AI systems are designed, evaluated, monitored, explained, and constrained.
Role in the Trusted Data Framework
Makes AI use accountable when it consumes trusted data and knowledge.
Practical Examples
- Model risk control
- Human oversight
- AI audit
- Agent permissions
Consulting Questions
- What problem does this concept help diagnose in the client environment?
- Which upstream concepts must be in place before this concept becomes reliable?
- What evidence would prove that this concept is working in practice?