Technical
Development / Training
Phase when an AI model learns from datasets to be created or tuned.
Definition
The lifecycle phase in which the AI system is trained and developed using datasets, including dataset selection, preprocessing, model training and testing; the guidance treats this as distinct processing requiring data minimisation, pseudonymisation where possible, and contractual and security controls for vendor involvement.
Related Terms
Development / Training phase
Phase when the system learns from datasets....
collection and use for AI development
Data activities across the AI model lifecycle....
AI life cycle
Stages from scoping through decommissioning....
Model lifecycle
Phases from design and data curation to decommissioning....
AI lifecycle phases
Design, training, deployment, and monitoring stages of AI systems....