Torii House Phonograph Co.

The Red-Yellow-Green Framework

A Tool-Neutral Standard for Evaluating Creative Works

by Morgana Morgenstern, 2026

Introduction

The debate surrounding artificial intelligence in creative fields often begins with a flawed premise: that the use of AI is itself the primary factor determining whether a work should be accepted, rejected, or valued. This framework rejects that assumption.

Instead, all works, regardless of whether they are created with AI, traditional methods, or a combination of both, should be evaluated according to the same fundamental standards.

The central question is not:

"Was AI used?"

but rather:

"What is this, why was it created, and how was it created?"

By focusing on the nature of the work, the creator's intent, and the degree of meaningful authorship involved, it becomes possible to judge works consistently across changing technologies.

The Principle of Tool Neutrality

This framework is built upon a simple observation:

The best example of one category can be superior to the worst example of another category.

For example:

• The best AI-generated film may be better than some poorly made live-action films.
• The best digital artwork may be better than some poorly executed traditional paintings.
• The best electronic music may be better than some poorly composed orchestral music.

To claim that every example of one category is inherently worse than every example of another category simply because of the tools involved is generally a prejudicial position.

Tools are relevant, but they are not the sole determinant of value, legitimacy, or acceptability.

Instead, works should be evaluated according to common standards that apply equally to all creators.

Colour Ratings

Every work receives one of three ratings:

Red

Unacceptable.

The work is harmful, illegal, deceptive, exploitative, or otherwise fundamentally problematic regardless of artistic merit or production method.

A technically impressive work can still receive a Red rating.

Yellow

Acceptable, but fundamentally limited.

The work is not harmful and may be shared, sold, or distributed freely. However, the creator exercised little meaningful authorship, judgment, or transformative contribution during its creation.

A Yellow rating does not imply wrongdoing.

Rather, it indicates that the creator's role was minimal.

Examples include:

• Generating content at random and uploading it without further involvement.
• Producing a work largely through happenstance.
• Exercising little decision-making beyond selecting an output.

Such works are generally harmless but possess limited authorial significance.

Green

In Good Standing.

The work is lawful, non-deceptive, and demonstrates meaningful authorship.

The creator can clearly explain:

• What the work is.
• Why it was created.
• How it was created.

The creator exercised intentional judgment throughout the process and can reasonably claim ownership of the decisions that shaped the final result.

Importantly:

A Green rating is not a measure of artistic quality.

A Green work may be a masterpiece or completely forgettable.

The rating merely indicates that the work is ethically and authorially sound.

Evaluation Process

The framework evaluates a work through three questions asked in sequence.

Question One: What Is This?

This question establishes the fundamental nature of the work.

If the answer reveals that the work is inherently problematic, then evaluation ends immediately.

Examples include:

• Illegal materials.
• Copyright infringement.
• Malware.
• Fraudulent products.
• Other harmful or prohibited content.

Such works receive a Red rating.

If no fundamental issue is found, the evaluation proceeds to the next question.

Question Two: What Is Your Intent?

This question examines why the work exists and how it is intended to be used.

Even a technically harmless work may receive a Red rating if its purpose is manipulative or abusive.

Examples include:

• Spam.
• Deliberate deception.
• Platform manipulation.
• Fraudulent contests or schemes.
• Artificial inflation of engagement metrics.

A creator's intent can render an otherwise neutral work unacceptable.

If no significant issue is identified, the work receives at least a Yellow rating, and the evaluation proceeds to the final question.

Question Three: How Did You Make It?

This question evaluates meaningful authorship.

The purpose is not to measure effort, suffering, or time spent.

Rather, it measures the creator's role in shaping the final result.

Examples of Yellow responses include:

"I pressed generate five times and uploaded whatever came out."

"I don't really know why it exists. I just got lucky."

"It happened by accident."

These responses suggest minimal authorship and limited creative decision-making.

The resulting work is not harmful, but it remains fundamentally limited.

Examples of Green responses include:

"I generated hundreds of versions and selected elements from each."

"I rewrote major sections, restructured the project, and refined the final presentation."

"I deliberately pursued a specific artistic goal and can explain the decisions behind it."

In these cases, the creator demonstrates meaningful judgment and intentional engagement with the work.

The work therefore receives a Green rating.

Authorship Versus Effort

This framework does not reward effort for its own sake.

Working longer does not automatically earn a Green rating.

Likewise, using AI does not automatically prevent one.

The deciding factor is authorship.

A creator who can explain their choices, intentions, and creative process demonstrates agency over the work.

A creator whose involvement amounts to little more than passive acceptance of a result demonstrates limited agency.

This distinction applies equally to:

• AI art
• Photography
• Writing
• Film
• Music
• Painting
• Sculpture
• Any future creative medium

The standard remains the same regardless of technology.

Conclusion

The Red-Yellow-Green Framework evaluates works according to responsibility, intent, and authorship rather than tool usage alone.

It asks three simple questions:

1. What is this?
2. What is your intent?
3. How did you make it?

By focusing on these questions, the framework avoids treating any particular technology as inherently virtuous or inherently corrupt.

Instead, it judges works according to whether they are harmful, whether they are honest in purpose, and whether the creator exercised meaningful authorship in producing them.

In this way, the framework is designed not merely for today's debates about AI, but for any future technology that may alter how creative works are produced.

Additional Clarifications & Nuance

Disclosure Standards

Disclosure is often treated as a moral requirement, but this framework rejects the idea that tool usage alone creates an ethical obligation to disclose. A work should not be judged by whether the creator used AI, a camera, a paintbrush, or a synthesizer. It should be judged by what it is, why it exists, and how it was made.

Disclosure is therefore not inherently required for most creative works.

A bad movie does not need to disclose its tools. A good movie should not have to disclose its tools. A creative workflow is not ethically defined by its ingredients.

Instead, disclosure is only relevant when it resolves a specific ambiguity that affects audience understanding.

Examples include:

• Clarifying the nature of a persona or character. “Is this person physically real?” “No. This is a fictional persona. It may or may not use AI. Some do, some don’t.”
• Clarifying whether a depicted event is factual or synthetic. “Is this footage real?” “No. It is staged or digitally created.”
• Clarifying whether a representation is intended to be interpreted as a real human. “Is this a real actor?” “No. This is a digital character.”

Disclosure is therefore a contextual transparency tool, not a moral requirement.

Creators may disclose when doing so prevents confusion, deception, or misinterpretation. Creators are not obligated to disclose when the nature of the work is already clear, or when tool usage is irrelevant to the audience’s understanding.

The framework remains tool-neutral: disclosure is not a virtue, and non-disclosure is not a vice. It is simply one optional method of maintaining clarity when needed.

Collaborative Authorship

Many modern works are created through distributed authorship. A single project may involve:

• multiple human creators
• multiple tools
• multiple stages of revision
• hybrid workflows
• iterative processes across different mediums

The Red–Yellow–Green Framework evaluates the work, not the individual contributors.

A Green rating does not require that one person performed every task. A Yellow rating does not imply that collaboration occurred. A Red rating does not assign blame to a specific participant.

Instead, the rating reflects whether the overall creative process demonstrates:

• lawful and non-harmful intent
• honest purpose
• meaningful authorship exercised by the creators collectively

A collaborative work may be Green even if individual contributors played small roles, so long as the collective process demonstrates intentionality and authorship.

Likewise, a collaborative work may be Yellow if the group’s involvement was minimal, or if the final result emerged largely by accident or passive acceptance.

Authorship can be distributed. Responsibility can be shared. The rating applies to the finished work as a whole.

Audience Misinterpretation

A work’s rating is determined by the creator’s intent, the nature of the work, and the authorship involved — not by how audiences may misinterpret or misuse it.

Audience reactions do not retroactively change the ethical standing of a work.

Examples:

• A harmless fictional character does not become “Red” because some viewers mistakenly believe it is real.
• A satirical piece does not become “Red” because some viewers take it literally.
• A Yellow work does not become “Green” because audiences attribute depth or meaning that the creator did not intend.
• A Green work does not become “Yellow” because audiences dismiss it as trivial.

Creators are responsible for:

• what they made
• why they made it
• how they made it

Creators are not responsible for:

• misreadings
• conspiracy theories
• unintended interpretations
• audience projection
• unreasonable external misuse

The framework evaluates the creator’s agency, not the audience’s imagination.

Audience misunderstanding may require clarification or communication, but it does not alter the ethical rating of the work.