OOF™ Origin Open Foundation™

Independent Methodological Authority

Category: AI and Interpretation
Subcategory: Content Origin Declaration
Module: Audio Origin Module (AOM™)
Type: Declaration Module
Standard: Origin Declaration Standard (ODS™)
Status: Canonical Module
Version: 1.0
Effective Date: 17 March 2026

Canonical Definition

The Audio Origin Module (AOM™) defines how the origin of audio content
is declared using a single, clear origin code.

The module enables immediate recognition of whether audio
is human generated, AI generated, or undeclared.

Declaration

Only one origin code may be used:

• HGA — Human Generated Audio
• AGA — AI Generated Audio
• UGA — Unknown Generated Audio

Usage

Audio Level (required — single code)

One origin code must be associated with the audio content.

Examples:

• HGA
• AGA
• UGA

Description Level (required)

The declaration must be included in the description or metadata:

Audio: HGA
OOF Compatible — ODS™ Standard
https://originopenfoundation.org

OOF Compatibility

Content using this module may include the statement:

OOF Compatible — ODS™ Standard

A reference link to the official source is required.

Use Case 1 — Podcast Transparency

Scenario

A podcast includes human speech, AI voice, or mixed production.

Application

The creator declares audio origin (HGA / AGA / UGA).

Result

• Clear listener understanding
• Increased trust
• Transparent content production

Use Case 2 — Voice AI Content

Scenario

AI-generated voice content is used in media, narration, or automation.

Application

Audio origin is declared as AGA.

Result

• Clear distinction from human voice
• Reduced confusion and misuse
• Aligned platform and audience expectations

Structural Principle

One code defines origin.
Declared origin defines trust.

Closing Statement

What is heard should not be assumed.
It should be declared.