AI Governance
Governing the meaning AI systems rely on — trust, risk, and semantic governance for trustworthy AI.
This space governs how its concepts are interpreted within its domain, and connects them to the people, systems, documents, and organizations that operationalize their meaning.
Concepts
4 concepts in this space.
Governance · 0 relations
Governance · 4 relations
Meaning · 2 relations
Governance · 1 relation
Ecosystem
The stakeholders, systems, documents, and organizations connected to this space's concepts.
Stakeholders
- Governance Board
The body accountable for approving definitions and resolving meaning disputes.
Systems
- Risk Engine
The system that scores and aggregates risk for underwriting and reporting.
Documents
- Governance Standard
The standard describing how meaning is governed, owned, and audited.
Organizations
- Regulator
The authority that supervises conduct and prudential requirements.
Meaning Space graph
Concepts in AI Governance and the stakeholders, systems, documents, and organizations they connect to. Tap a concept to open its page.
Node colors
- Meaning
- Governance
- Insurance
- Standards
- Context
Node states
- Standard concept — currently visible
- Expandable concept — more connections available
- Selected concept — currently inspected
Relationship types
- creates
- reduces
- enables
- supports
- depends on
- contains
The relationship name is shown directly on each connection — e.g. creates, depends on, enables — so you can see not just that two concepts are linked, but why.
Directionality
A → B means A influences, creates, enables, contains, or depends on B. Arrow direction always matters. Select any connection to read a plain explanation of the relationship.
Confidence
- Strong confidence
- Medium confidence
- Low confidence
Every connection shows its relationship name and color directly on the edge — visible by default at any zoom level, on desktop and mobile, no hover or tap required. Dashed nodes can be expanded to reveal additional relationships.