Article 14 asks for human oversight. Caneni creates the record surface for showing it.
Caneni is a methodology for producing AI oversight evidence: a verifiable record that a human decision-maker saw the relevant context, named the boundary, accepted responsibility, and left an examinable trace for a single outcome.
What Article 14 Requires
Article 14 of the EU AI Act addresses human oversight for high-risk AI systems. It requires systems to be designed so they can be overseen by natural persons during use, and it frames oversight as a way to prevent or minimise risks to health, safety, and fundamental rights.
It also requires oversight measures to be proportionate to the system's risk, autonomy, and context of use. The person assigned to oversight must be able to understand the system's capacities and limitations, monitor its operation, remain aware of automation bias, interpret outputs, and decide when not to use, override, reverse, intervene, or stop the system.
The legal question is not only whether a human was formally assigned. It is whether human oversight can be examined when a particular decision is challenged.
Source: Regulation (EU) 2024/1689, Article 14, Human oversight.
The Problem
Static documentation is not behavioral transparency.
A policy can say that a human is in the loop. A governance dashboard can list controls. A workflow can include approval fields. None of that proves, for a single outcome, that a person actually understood the risk, noticed the boundary, resisted automation bias, and took responsibility before the decision was made.
Policy documents, model cards, training logs, committee minutes, generic audit trails, and compliance checklists.
An examinable record of a single outcome: who saw what, which consequence mattered, which uncertainty remained, and who had authority to respond.
How Caneni Helps
A record layer for meaningful oversight.
Caneni does not certify that a decision was correct. It creates a verifiable record that a human was present in the decision path, named the relevant consequence, and accepted a duty to return if the stated signal appears.
The Caneni record is built around SHPUR: a structured human presence record. It is not a score, token, legal opinion, or compliance certificate. It is a human-in-the-loop documentation surface designed for review.
For Whom
Caneni is relevant wherever Article 14-style human oversight must become visible as AI governance evidence rather than remain a policy statement.
What This Gives
When someone asks, "show me the human oversight record for this decision," Caneni has a place to look.
The record does not replace legal analysis, court assessment, regulatory interpretation, or independent audit. It makes the human part of the decision examinable: what was seen, what was accepted, what was left unresolved, and where responsibility was held.
This is the difference between saying a human was in the loop and being able to produce a verifiable record of human oversight for the outcome in question.
Related: About Caneni · Build · Protect for boards and compliance · KH-256 Procedural Doubt Framework
Search Terms This Page Addresses
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