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Model output governance

Tech concernsShared across all subject areas

Model output governance

How model-generated content is marked, reviewed and audited.

Stack choices4

Pilot
Modern production
Circa 2015
Enterprise .NET

Tech constraints3

Movement explanation narrative
Bounded Autonomous Execution · Visual step recognition for hands-free progression
Automated Content Quality Rules · Semantic staleness judgement

Glossary links2

Grounding
Human in the loop

Facts

AreaAI/ML infrastructure

DescriptionHow model-generated content is marked, reviewed and audited.

ReversibilityStructural

Needed for pilotYes

NotesAn auditor will ask whether an entry was machine-generated and who approved it. If that is not recorded at creation, it cannot be reconstructed later.

Dataset version 2026.09.0. Pages, scope and counts are computed from the schema, not listed anywhere. A personal reference and portfolio project — not a vendor comparison site.