I. Authorship & Human Creativity Requirement

A foundational issue: Can AI-generated images or comics be copyrighted?

1. Burrow-Giles Lithographic Co. v. Sarony

Facts:
The case concerned whether a photograph of Oscar Wilde taken by Napoleon Sarony could receive copyright protection.

Legal Issue:
Is a photograph a “writing” under the U.S. Constitution’s Copyright Clause?

Holding:
Yes. The Court ruled copyright protects works that are the product of human intellectual conception.

Why It Matters for AI:

The Court emphasized originality comes from the author’s intellectual conception.

AI systems lack legal personhood and cannot form “intellectual conception.”

Therefore, fully autonomous AI outputs face copyright eligibility problems.

Implication for Graphic Storytelling Platforms:

If a comic panel is entirely AI-generated without meaningful human control, it likely lacks copyright protection.

If a user meaningfully selects, arranges, edits, and curates panels, copyright may exist in the human-authored elements.

2. Feist Publications, Inc. v. Rural Telephone Service Co.

Facts:
Rural Telephone sued Feist for copying names and numbers from its phone directory.

Holding:
Copyright requires:

Independent creation

Minimal creativity

Mere “sweat of the brow” is insufficient.

AI Relevance:

If an AI recombines existing images without sufficient originality, output may lack creativity.

Human prompts alone may not meet the creativity threshold unless they meaningfully shape expression.

Platform Impact:

Platforms must distinguish between:

User creative input (protectable)

Machine-generated statistical outputs (potentially unprotectable)

3. Thaler v. Perlmutter

Facts:
Stephen Thaler attempted to register copyright for an artwork created solely by his AI system (“Creativity Machine”).

Holding:
The court ruled that copyright requires human authorship.

Key Reasoning:

U.S. copyright law presupposes a human author.

AI cannot be listed as an author.

Fully autonomous AI works are not copyrightable.

Implication for Graphic Storytelling Platforms:

If the AI independently generates full comic pages, those pages may not be copyrightable.

Platforms should structure workflows emphasizing human control, editing, and selection.

4. Naruto v. Slater

Facts:
A macaque monkey took a selfie using a photographer’s camera. The issue was whether the monkey owned copyright.

Holding:
Only humans can hold copyright.

AI Relevance:

Reinforces non-human entities cannot be copyright authors.

By analogy, AI systems cannot own copyright.

II. Derivative Works & Substantial Similarity

AI tools trained on copyrighted comics and art styles may produce outputs resembling existing works.

5. Anderson v. Stallone

Facts:
An author wrote a script using Rocky characters without permission.

Holding:
Using copyrighted characters without authorization creates an infringing derivative work.

AI Implication:
If users generate:

“Batman-style vigilante in Gotham”

“Spider-Man crossover issue”

Directly identifiable characters

The output may be an unauthorized derivative work.

For Graphic Platforms:

Strong filtering mechanisms are required.

Clear prohibition of trademarked characters.

6. Warner Bros. v. American Broadcasting Companies

Facts:
Warner Bros. alleged that the show The Greatest American Hero copied Superman.

Holding:
Protection extends to sufficiently delineated fictional characters.

AI Relevance:

Iconic comic characters are protectable.

AI-generated near-identical superhero archetypes may infringe.

7. Rogers v. Koons

Facts:
Jeff Koons copied a photograph into a sculpture claiming parody.

Holding:
Substantial similarity + commercial exploitation = infringement.

AI Relevance:

If AI reproduces protected compositions or poses from training images, substantial similarity may trigger liability.

“Style” is not copyrightable, but copying expressive elements is.

III. Fair Use & Training Data

A central controversy: Is training AI on copyrighted comics fair use?

8. Authors Guild v. Google, Inc.

Facts:
Google scanned millions of books to create a searchable database.

Holding:
The use was fair use because:

It was transformative

It did not substitute for the books

Only snippets were shown

AI Parallel:
AI training may be defended as transformative:

Converts expressive works into statistical weights.

Does not reproduce full original works (in theory).

But Distinction:

If AI outputs reproduce expressive content, it may no longer be transformative.

9. Andy Warhol Foundation v. Goldsmith

Facts:
Warhol used a photograph of Prince to create silkscreens.

Holding:
Even transformative style does not automatically justify commercial licensing.

Importance for AI Platforms:

Commercial exploitation matters.

If AI-generated comics compete with original artists, fair use arguments weaken.

Transformative purpose must be carefully assessed.

IV. Platform Liability

AI graphic storytelling platforms may face secondary liability.

10. A&M Records, Inc. v. Napster, Inc.

Facts:
Napster enabled peer-to-peer sharing of copyrighted music.

Holding:
Platform liable for contributory and vicarious infringement.

Relevance:
If a platform:

Knows users generate infringing comics

Fails to prevent repeated violations

It may face similar liability.

11. MGM Studios, Inc. v. Grokster, Ltd.

Holding:
Inducing infringement creates liability.

Implication:
If a storytelling platform markets itself as:

“Create Marvel-style comics instantly!”

That could demonstrate inducement.

V. Emerging AI-Specific Litigation

12. Andersen v. Stability AI Ltd.

Facts:
Artists sued Stability AI alleging:

Unauthorized training on copyrighted images

Output mimicking artists’ styles

Key Issues:

Is training infringement?

Are outputs derivative works?

Is style protected?

The case is ongoing but central to AI art legality.

Impact on Graphic Storytelling Platforms:

If trained on scraped comic art, exposure to mass litigation risk exists.

Transparency and licensed datasets reduce risk.

VI. Key Legal Risks for AI Graphic Storytelling Platforms

1. Lack of Copyright Protection

Fully AI-generated comics may not qualify for copyright.

2. Derivative Character Infringement

Using iconic fictional universes may infringe.

3. Substantial Similarity Risk

Panel layouts or compositions may replicate copyrighted comics.

4. Training Data Liability

Unlicensed comic training datasets create exposure.

5. Secondary Liability

Platforms may be liable if they:

Encourage infringement

Ignore repeat violations

Fail to implement takedown systems

VII. Practical Compliance Strategies

For AI-assisted comic platforms:

Emphasize human editorial control

Maintain detailed prompt logs

Use licensed training datasets

Implement DMCA-style takedown procedures

Filter trademarked characters

Avoid marketing that encourages copying

VIII. Conclusion

AI-assisted graphic storytelling sits at the intersection of:

Human authorship doctrine

Derivative work protection

Fair use jurisprudence

Platform liability law

The trajectory of cases like Thaler, Warhol, and Andersen suggests courts are:

Firm on human authorship

Narrowing transformative defenses in commercial contexts

Increasingly scrutinizing AI training practices

Until legislatures enact AI-specific copyright statutes, platforms must operate cautiously within existing doctrine shaped by the above cases.