Model
A trained algorithmic artifact that performs tasks using learned parameters.
Definitions (4)
A mathematical or algorithmic construct trained or configured to process input data and generate predictions, classifications, decisions, or other outputs; includes parameterized representations and learned weights and is treated as a discrete legal object for determining regulatory obligations.
The trained algorithmic artefact (including architecture, parameters/weights and behaviour) that produces outputs—predictions, classifications or generated content—based on input data and its training; treated as a discrete component requiring testing, versioning and governance.
An application of theoretical, empirical, judgmental assumptions or statistical techniques (including AI/ML) that processes input data to generate results; this definition covers both quantitative and non-quantitative systems used for analytics, decisioning or operational support.
A model is defined as a quantitative method, system, or approach that applies statistical, economic, financial, or mathematical theories, techniques, and assumptions to process input data into quantitative estimates. It includes three components: information input, processing, and reporting, and is broad enough to cover traditional models and AI/ML systems.
Related Terms
Models
Trained algorithms used to generate inferences or predictions....
AI model
The mathematical engine within an AI system....
Trained model
The model artifact produced by training on a dataset....
Model owner
Entity that owns or controls an AI model's rights and deployment....
AI systems
Systems using automated models to make/assist decisions or generate content....