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Authorship Transparency Statement (ATS) Framework

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Authorship Transparency Statement (ATS) Framework v1.0

Protocol ID: ATS-FRAMEWORK-1.0
Latest Version: v1.0 (Released January 2026)
Stewards: Meaningfulness Media Group

📌 Overview

The Authorship Transparency Statement (ATS) is a technical protocol designed to replace the primitive binary question "Did you use AI?" with a nuanced, multi-tiered lexicon for creative synthesis.

As generative AI matures, the line between augmentation and generation has blurred. The ATS Framework provides the "paperwork of becoming"—an objective, mechanical method for creators to disclose their methodology and for institutions to make informed assessments regarding authorship, copyright, and creative integrity.

The "Bright Line" Principle

The entire framework is anchored on the origin of the first complete draft of prose (or modality equivalent).

📊 The ATS Tiers (0–5)

📏 The Extent Axis (E-Scale)

The E-Scale provides quantitative resolution regarding the volume of AI-drafted content within a specific work. While the Tier (0–5) defines how AI was used, the Extent defines how much of the final version originated as AI drafts.

🚀 Quick Start for Creators

To disclose your work, follow the ATS Decision Matrix:

Standard Disclosure Format: [Modality] ATS-[Tier][Modifier] [Extent]

Example Disclosure: Text ATS-2 [E1]; Research ATS-1 [E2]

💻 Developer Implementation

The ATS Framework is designed to be machine-readable and interoperable with standards like C2PA.

Repository Structure

Metadata Schemas

The /schemas directory contains raw JSON and JSON-LD templates for embedding ATS data into digital files:

🤝 Contributing & Evolution

Standardization is a collaborative process. We welcome input from creators, publishers, and developers to refine v1.1 and beyond.

How to Contribute:

The RFC Process:

📜 Citation

If you utilize this framework in your research or platform, please cite it as follows:

Bee, D. (2026). Authorship Transparency Statement (ATS) Framework v1.0: A Technical Standard for the Multi-Tiered Disclosure of Generative AI in Creative Works. Meaningfulness Media Group. Protocol ID: ATS-FRAMEWORK-1.0. [https://doi.org/10.5281/zenodo.18091713]

⚖️ License & Copyright

Copyright © 2026 Meaningfulness Media Group.

This work is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

You are free to:

Under the following terms:

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