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 / hypothesis
Hypothesis
A falsifiable statement an AI experiment is designed to support or reject — specifying an intervention, an expected direction of effect, a primary metric, and an acceptable effect size.
What this means in practice
Hypothesis-first experimentation (declared before running the experiment) prevents p-hacking, selective reporting, and post-hoc narrative fitting.
Synonyms
experiment hypothesis , testable hypothesis
See also
- Primary metric — The single metric whose movement drives an experiment's ship/no-ship decision.
- Guardrail metric — A secondary metric that must not degrade — typically beyond a declared tolerance — even if the primary metric improves.
- AI experiment — A structured comparison producing evidence for a decision — about a model version, a prompt, a feature set, a retrieval strategy, or a deployment change.