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 / ai-system-eu-ai-act
AI system (EU AI Act)
Under Regulation (EU) 2024/1689, a machine-based system designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, which infers from the input it receives how to generate outputs — such as predictions, content, recommendations, or decisions — that can influence physical or virtual environments.
Synonyms
AI system under Regulation 2024/1689 , Article 3(1) AI system
See also
- Provider — Under Regulation (EU) 2024/1689, a natural or legal person, public authority, agency, or other body that develops an AI system or a general-purpose AI model — or has it developed — and places it on the market or puts it into service under its own name or trademark, whether for payment or free of charge..
- Deployer — Under Regulation (EU) 2024/1689, a natural or legal person, public authority, agency, or other body using an AI system under its authority — except where the AI system is used in the course of a personal non-professional activity..
- High-risk AI system — Under Regulation (EU) 2024/1689, an AI system falling under Article 6(1) because it is a safety component of, or is itself, a product covered by Annex I Union harmonization legislation, or under Article 6(2) because its use case falls within Annex III — unless exempted by the Article 6(3) derogation..
- GPAI (general-purpose AI model) — Under Regulation (EU) 2024/1689, an AI model — including where trained with a large amount of data using self-supervision at scale — that displays significant generality and can competently perform a wide range of distinct tasks, regardless of how it is placed on the market..