Models
Trained algorithms used to generate inferences or predictions.
Definitions (2)
Algorithms or mathematical representations produced through training on datasets (e.g., ML models, statistical inference engines) that are used to perform inference or support decision-making within AI systems; treated as distinct artifacts for documentation and governance purposes.
Defined broadly to include foundation models and task‑specific models, encompassing statistical, machine‑learning and symbolic approaches used to produce AI capabilities. The draft treats 'models' as artefacts subject to governance, deployment inventories, testing and conformity pathways aligned with EU processes.
Related Terms
Model
A trained algorithmic artifact that performs tasks using learned parameters....
AI model
The mathematical engine within an AI system....
AI systems
Systems using automated models to make/assist decisions or generate content....
Model artefacts
Learned model components such as weights or pre-trained models....
Model lifecycle
Phases from design and data curation to decommissioning....