Category

AI Data Governance

These governance practices document data origins, permitted uses, retention periods, and licensing checks throughout the AI lifecycle.

How to recognize this theme

Records and policies that govern data used by AI systems.

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.

Dataset Lineage Record

A dataset lineage record documents where training or evaluation data came from and how it was collected, transformed, and combined.

Training Consent Scope

Training consent scope defines which model-development purposes a person or organization has authorized for contributed data.

Retention Policy Window

A retention policy window specifies how long AI training, evaluation, prompt, or output data may remain stored before review or deletion.

Data License Audit

A data license audit checks whether datasets and their downstream uses comply with applicable licenses, contracts, and attribution requirements.