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 / attribution-in-ai-integrated-performance
Attribution in AI-integrated performance
Rules for distinguishing human contribution from AI-assisted output in performance measurement — "did the analyst find that insight, or did the tool?" Has direct consequences for promotion, compensation, and public narrative.
What this means in practice
The methodology is nascent; COMPEL treats it as an active area of practice rather than a solved problem.
Synonyms
AI-integrated performance attribution , human-AI credit assignment
See also
- Performance evaluation redesign — Changes to goal-setting, coaching, and review processes forced by AI integration — including attribution rules, revised productivity expectations, and safeguards against AI-integrated surveillance overreach.
- Attribution model — A rule set for assigning credit to an AI feature when outcomes involve many touchpoints — e.g., first-touch, last-touch, linear, time-decay, or data-driven multi-touch.
- AI-fluent manager — A manager who can set expectations, coach employees, and evaluate performance in AI-integrated work — including attributing output credit between human and AI, diagnosing AI-related underperformance, and maintaining psychological safety through change.