Category

AI Data Provenance

These concepts describe fingerprints, permissions, attestations, and lineage records used to make AI data pipelines more auditable.

How to recognize this theme

Terms that help trace where training or inference data came from.

In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.

Educational context

These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.

Source Fingerprint

A source fingerprint is a hash or identifier that helps verify which file, feed, or dataset supplied information.

Dataset Consent

Dataset consent records whether data contributors or rights holders allowed the data to be used for a stated purpose.

Provenance Attestor

A provenance attestor is a service or party that signs claims about where data came from and how it was handled.

Model Lineage Record

A model lineage record documents datasets, checkpoints, evaluations, and transformations used to produce a model version.