The COMPEL Glossary Graph visualizes relationships between framework terminology, showing how concepts interconnect across domains, stages, and pillars. Term nodes cluster by pillar affiliation while cross-references reveal semantic dependencies — for example, how risk appetite connects to control effectiveness, model governance, and assurance requirements. This network representation helps practitioners navigate the framework vocabulary and understand that COMPEL terminology forms a coherent conceptual system rather than isolated definitions.
COMPEL Glossary / GL-63
Trustworthiness Score
A top-level composite score combining the Safety, Responsibility, Security, and Compliance dimensions of the trust-and-performance scorecard into a single trust signal for executive reporting.
What this means in practice
Computed with transparent weights and publishable rubric so that movement in the score is traceable back to the underlying dimension metrics, the trustworthiness score is explicitly not a substitute for those dimension metrics in operational decisions.
Context in the COMPEL framework
Executive rollup produced in Evaluate; reviewed in Learn and at portfolio-level governance forums.
Where you see this
Trustworthiness Score is most commonly referenced when teams work across the Evaluate and Learn stages — especially within the Agent Governance layer . It appears in governance artifacts, assessment instruments, and delivery playbooks wherever COMPEL is operationalized.
Related COMPEL stages
Related domains
Synonyms
trust score , composite trust index , AI trust score
See also
- Trust & Performance Dimensions — The eight continuous-measurement axes against which every AI transformation is evaluated in COMPEL: Value, Reliability, Safety, Responsibility, Compliance, Security, Sustainability, and Adoption.
- Responsibility Index — A composite scorecard metric for the Responsibility dimension, combining bias delta, explainability coverage, and human-oversight effectiveness into a single index used in executive reviews.
- Control Coverage Percentage — The ratio of implemented and evidenced governance controls to required controls under a given standard or regulatory framework — for example ISO 42001, NIST AI RMF, or the EU AI Act.