TDTrusted Datafor Trusted Decisions

Concept

Trust

Trust is earned through evidence, governance, transparency, provenance, and accountability.

governanceLevel 4/6

Position in the Trusted Data Framework

Trust

Reality
RepresentationCurated Data
Knowledge
TrustDecision Intelligence

Living Graph View

Trust in the concept network

Drag nodes to adjust the view, double-click a node to expand its neighbourhood, and right-click a node to hide it while preserving the exploration context.

Loading concept graph

Relationship Matrix

Trust as a network node

Connected concept
Relationship

Needs clear origin and evolution of knowledge.

Requires evidence that data is fit for purpose.

Makes AI-supported decisions credible enough to use.

Concept Relationships

How Trust works with other concepts

Builds onProvenance

Needs clear origin and evolution of knowledge.

Builds onData Quality

Requires evidence that data is fit for purpose.

Definition

Trust is a system property created when people can understand, verify, govern, and rely on data, knowledge, and AI outputs.

Role in the Trusted Data Framework

Acts as the central promise of Trusted Data for Trusted AI.

Practical Examples

  • Evidence-backed data
  • Transparent assumptions
  • Governed AI outputs
  • Accountable ownership

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?