Concept
Privacy
The protection of personal, sensitive, or confidential information in data and AI systems.
Position in the Trusted Data Framework
Privacy
Living Graph View
Privacy in the concept network
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Relationship Matrix
Privacy as a network node
Sets rules for personal and sensitive data management.
Limits how personal or sensitive context can be used in AI outputs.
Builds confidence that data and AI respect people and obligations.
Concept Relationships
How Privacy works with other concepts
Sets rules for personal and sensitive data management.
Limits how personal or sensitive context can be used in AI outputs.
Builds confidence that data and AI respect people and obligations.
Definition
Privacy ensures that information about people and sensitive activities is collected, used, shared, and retained responsibly.
Role in the Trusted Data Framework
Constrains data use, information exchange, AI reasoning, and decision intelligence.
Practical Examples
- Personal data minimisation
- Consent
- Purpose limitation
- Privacy impact assessment
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?