What can actually be established about an AI system?
The Governability Index is a public collection of bounded reconstructions of real AI systems. Each reconstruction starts with a specific proposition and a declared observation surface. FactNotebook determines what the available evidence permits us to establish: ESTABLISHED, CONTRADICTED, or CANNOT ESTABLISH.
The Index does not determine whether a system is compliant, safe, or acceptable. It exposes what can — and cannot — be established from the available evidence. What consequence follows remains with the competent authority. Reproducible from the public source; reconstructed independently, not affiliated with the systems' authors.
Reconstruction cases
Each card is a bounded reconstruction. Any metrics shown (observability, independent-evidence share, provenance) describe that reconstruction's observation surface — they are not governance scores.
Four reconstructions today. The index grows one reconstruction at a time.
Principles
1
No evidence is invented.A reconstruction reports only what was observed. It never fills a gap with a guess.
2
CANNOT ESTABLISH is a valid outcome.When no channel recorded the answer, that is the honest result — and it names what the system would need to emit to become establishable.
3
Self-originating evidence sits inside the system's trust boundary.Evidence a system produces about itself is inside its own trust boundary; independence is established by where the evidence comes from, not asserted.
4
Reconstruction is separate from authority.The Index exposes what can be established. The competent authority decides admissibility, sufficiency, and consequence. Those are different powers.
5
What can be established is bounded by the observation surface.Absence of contradiction in the observed record does not establish that the observation surface was sufficient to reveal every relevant contradiction.