Technical

Dataset Provenance

Traceable metadata on the origin and composition of training data.

Definitions (2)

Information and records detailing the sources, collection methods, preprocessing steps, representativeness, and legal/ethical provenance of datasets used to train or validate AI systems, used to assess data quality, bias risks and compliance with data protection rules.

Documentation of data sources, collection methods, preprocessing, curation and lineage used to train or validate AI systems, intended to support bias assessment, legal compliance, and transparency obligations under the bill.