Semantic Governance for AI Alignment

SGAIAI Application

AI & Governanceload-bearing — the argument runs through it

—working paper

3topics

SGAI applies idea-native architecture to AI alignment—treating AI goals as first-class governable objects rather than properties encoded in model weights.

Where it sits. Application of INA to AI systems—semantic alignment.

The long-form argument for this work still lives on the existing explainer at /explainer/semantic-governance-ai. This page carries the abstract and the corpus metadata — the frame the argument would move into unchanged.

Key termsAI Alignment · Semantic Governance · Goal Architecture

In the canonspineload-bearing — the argument runs through it

No paper yetSemantic Governance for AI Alignment: Applying Idea-Native Architecture to Machine Learning Systems is a working paper with no SSRN record yet. Said plainly rather than linked to a record that does not exist.

Nearby in the corpus

Also in AI & Governance

The works either side of this one in the canon order — what it builds on and what builds on it.

Before DelegationPre-GovGovernance Design→Idea-Native ArchitectureINASemantic Foundation→Idea-Native DiscoveryINDLibrary Application→

Where to go next

Three directions out

Where to go once you have the argument — the paper it comes from, the instrument that measures it, or the next thing it depends on.

Measure itinstrumentsRun the measurement this argument implies against your own institution.→The library65 worksEvery work, by layer, with the argument and the paper side by side.→In the field2 liveWhere the argument has met real money and published dates.→