Compliance
data certification
Process assessing data quality and fitness for AI use.
Definition
A process and set of mechanisms for assessing and certifying dataset quality, provenance, and fitness for AI applications, enabling registered datasets to be trusted for reuse, transactions, and public-sector AI deployment under the strategy's data governance framework.
Related Terms
Data governance and data quality
Criteria and practices for dataset provenance, labelling and curation....
AI-ready data
Data prepared and governed for use in AI development....
Datasets
Curated, annotated collections of data for model training/testing....
Dataset Provenance
Traceable metadata on the origin and composition of training data....
Data trust
Mechanism for trusted sharing and reuse of public-sector data....