AI Oversight Evidence
Not AI watching humans. Caneni uses “AI Oversight Evidence” to mean evidence of human oversight around AI-assisted decisions — a record that a person exercised judgment, not that an AI supervised people.
Because the phrase “AI oversight” is read two ways, Caneni's current public professional term is Human Oversight Evidence.
Canon Atlas holds the deeper definitions. This page keeps the public boundary language readable and scoped.
Two Meanings of Evidence
Evidence about AI oversight: empirical studies of how AI monitoring changes human behavior, errors, incentives, or automation bias.
A structured, attributable record of a person's stated considerations, reported opportunities to intervene, and declared responsibilities in an AI-assisted decision, alongside information about AI contributions with its source identified.
Provenance: AI Oversight Evidence is a historical Caneni term / C-AOE notation. Current public professional term: Human Oversight Evidence.
For the professional application and Article 14 context → Human Oversight Evidence
What It Records
Disclosure Boundary
Why Logs Are Not Enough
An AI audit log can show inputs, outputs, confidence scores, and actions. A workflow log can show that someone clicked approve.
A click records a transaction. AI Oversight Evidence supports examination of the human judgment behind it.
This is why Caneni pairs AI governance language with reviewable human judgment and the consequence record.
Article 14 Context
EU AI Act Article 14 is a relevant use context because it concerns human oversight for high-risk AI systems. Caneni does not claim that Article 14 requires Caneni, or that a Caneni record automatically satisfies any legal duty.
Caneni frames the evidence layer: how human oversight can be made more visible, reviewable, and attributable when an AI-assisted decision is later questioned.
