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 / role-specific-literacy
Role-specific literacy
Adaptation of AI literacy content to the specific AI touchpoints of a given role — such as credit-risk analysts, customer-service agents, radiologists.
What this means in practice
Prevents generic-literacy fatigue and raises demonstrable capability for the tasks that actually matter in each role.
Synonyms
role-tailored literacy , contextualised AI literacy
See also
- AI literacy (WCT) — The minimum knowledge, skills, and judgment required to operate AI systems responsibly — legally required under EU AI Act Article 4 from 2 February 2025 for providers and deployers of AI systems.
- Literacy taxonomy (four levels) — A four-level classification — general population, AI-user, AI-worker, AI-specialist — each with distinct content depth, assessment rigor, and recertification cadence.
- Task-level decomposition — Breaking a role into its constituent tasks so that each task can be evaluated for AI exposure, automation value, and augmentation potential.
- Manager enablement curriculum — A structured content-and-practice curriculum that builds manager capability in AI literacy, AI-era performance evaluation, coaching, and change leadership.