How governable is an AI system — not by policy, but by evidence?
A system cannot be governed if its behaviour cannot be reconstructed. Each profile measures what an independent reviewer could actually establish about how a real AI system behaved — from public evidence alone.
Each profile reconstructs the observable history of a real AI system from public evidence, checks declared-vs-observed, and reports what is confirmed, contradicted, and honestly not assessable — each graded by how independent the evidence is. Reproducible from the public source; assessed independently, not affiliated with the systems' authors.
Two profiles today. The index grows one system at a time.
Principles
1
No evidence is invented.A profile reports only what was observed. It never fills a gap with a guess.
2
NOT ASSESSABLE 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 answerable.
3
Evidence is preserved independently of system execution.A system cannot preserve its own evidence with independence. It is inside its own trust boundary.
4
Trust is assigned by authorities — not by evidence infrastructure.The index exposes properties. An auditor or a regulator decides admissibility. Those are different powers.
5
Governability is limited by observability.A system cannot be governed beyond what it can honestly observe.