Data Governance and Documentation Artifacts for AI

Provenance and lineage, lawful and licensed training data, synthetic data and the unlearning problem, and the documentation stack — datasheets, model cards, system cards, and the regulator-facing tech file — with a map of who writes what, when, and which law demands it.

Content current as of 2026-09.

Lessons

1. Provenance: where did this data come from?
2. Quality, lawful basis, and the licence question
3. Synthetic data, poisoned data, and data you must forget
4. Datasheets, model cards, system cards
5. What the law wants: the artifact map, and keeping it honest