Human oversight needs evidence.
Caneni makes decision maturity reviewable.

The gap

The same gap appears across AI governance, professional liability, and algorithmic decision-making: no verifiable record that a human was here and decided.

The record is a timestamped, structured entry — who reviewed, what they considered, what they decided — anchored independently of the AI system, in a form a regulator, auditor, or court expects.

What Caneni is

The founding methodology for AI Oversight Evidence.

Caneni documents the human decision as a verifiable, independently-anchored, dated record — a record that survives the system it was made in. Not another audit trail. A verifiable record that the right human was there — and decided.

AI Oversight Evidence is the first application — the door, not the whole building. Digital Relic Net is the discipline. Conscious Digital Presence is the frame.

Category architecture

Caneni is becoming readable as a category.

Google already recognises Caneni around AI Oversight Evidence, human judgment, Apotrop and Canon Atlas. These pages make the public layer explicit: what the category is, what it does, and what it does not claim.

Four ways in

Regulatory context

Google has notified users of an upcoming Terms of Service update effective July 30, 2026, covering background service activity and placing full accountability for AI-generated content on the organizations using it — not on Google. Regulatory and platform trends converge: accountability shifts to those who act on AI output.

Definitions

AI Oversight Evidence

AI Oversight Evidence is verifiable documentation that a human decision-maker — not the AI model — reviewed and decided in an AI-assisted workflow. It records who reviewed, what they saw, and what they decided, in the form a regulator, investor, or court expects.

Digital Architecture for Human Subjectness

Digital Architecture for Human Subjectness is the design principle for digital systems that preserve the conditions under which human judgment, accountability and continuity remain possible as AI becomes part of decisions and experience.

Human Subjectness

Human subjectness means remaining an identifiable source of judgment, action and responsibility rather than becoming merely an object of system processing.

Reviewable Human Judgment

Reviewable human judgment means a structured record exists showing what a person actually assessed, where they set limits, and when they expected to return.

Consequence Record

A consequence record captures what a human held before a consequential decision — who was responsible, what they reviewed, where AI was used, and when they expected to return.

Human Judgment Continuity

Human judgment continuity means the path between a person's judgments remains traceable, including revisions, returns, and delegations.

Conscious Digital Presence

Conscious Digital Presence is the balance between human agency and automation in an expanding digital environment — the framework that keeps human judgment as the operating center of AI-assisted decisions.

Digital Relic Net

Digital Relic Net is the emerging discipline of preserving verifiable traces of human judgment across AI workflows — the infrastructure that makes AI Oversight Evidence possible at scale.

Verifiable human judgment

Verifiable human judgment is documented evidence that a human exercised meaningful judgment — not just formal approval — in an AI-assisted process, structured for regulatory, legal, and audit scrutiny.

Automation bias and the evidentiary gap

Automation bias — the systematic tendency to accept AI outputs without sufficient verification, documented in human factors research — means that formal human presence in a workflow does not guarantee meaningful engagement. What Norbert Wiener identified in 1950 as the core risk of automated systems remains the gap AI Oversight Evidence is designed to close.

Provenance

Caneni does not call itself the standard. Caneni names the category first and offers the first methodology to work in it. A standard is made by adoption.

Ecosystem map

Caneni methodology ecosystem · December 2025 – June 2026

References

Legal and regulatory references: Israel Privacy Protection Law Amendment 13 (in force August 2025); EU AI Act Article 14; Israel Supreme Court ruling AAM 63194-08-25 (22 March 2026); Google Terms of Service update notice (effective July 30, 2026).
Scientific references: Parasuraman & Manzey, Complacency and Bias in Human Use of Automation, Human Factors 52(3), 2010; Simons & Chabris, Gorillas in our midst, Perception 28(9), 1999; Wiener, The Human Use of Human Beings, 1950.