Why AI Developers Remain Legally Responsible Even When the Output Is Created by AI

 

1. Introduction: If AI Creates the Output, Who Should Be Liable?

As AI systems increasingly generate images, text, music, and decisions autonomously, one major legal question emerges:

• “If AI produces the work, why is the developer held liable?”

• “Shouldn’t the AI itself be responsible for infringement?”

• “If an AI-trained model violates copyright, who is legally at fault?”

The answer is foundational in global AI regulation:

AI is not a legal subject.

AI cannot own rights, cannot commit legal acts, and cannot bear responsibility.

Therefore, all legal responsibility falls on the human or corporate entities who:

• develop

• train

• deploy

• distribute

• and profit from AI systems.

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2. AI Is a Tool, Not a Legal Actor

Across all jurisdictions—Indonesia, the U.S., the EU, and Japan—AI is treated as:

• a tool

• a software system

• an automated mechanism

AI cannot:

❌ be sued
❌ enter contracts
❌ own copyright
❌ form criminal intent (mens rea)
❌ provide legal consent
❌ be punished or held liable

Thus, AI behaves like a highly advanced instrument, but the law always traces actions back to the humans behind it.

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3. Developers Control the Entire Technical Process

Your thesis clearly states:

“AI developers control the entire training, data transformation, and system design process, making legal responsibility inherent to them.”

This includes:

✔ selecting and sourcing training datasets

✔ ensuring legality of the data

✔ defining model architecture

✔ determining capabilities and limitations

✔ setting safety measures and filters

✔ creating commercial products based on the model

If copyrighted works were used without permission, the violation occurred during training, not during output generation—which is entirely the developer’s responsibility.

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4. Why Users Are Not Always Responsible

In most cases, users:

• do not know which dataset was used

• have no control over the training process

• cannot inspect copyrighted material in the dataset

• rely on the AI service in good faith

Therefore:

Users = secondary liability (only in clear intentional misuse)

Developers = primary liability

Users may be responsible only if they:

• knowingly generate infringing content

• intentionally replicate copyrighted works

• use AI for unlawful purposes

But when infringement arises from illegal training data, the developer is ultimately responsible.

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5. International Legal Perspectives

A. United States

U.S. regulators (FTC, USCO, federal courts) consistently take the position that:

• AI systems lack legal personhood

• companies behind the AI are liable

• training AI on unlicensed works constitutes unauthorized reproduction

• misleading or harmful output results in developer accountability

The Getty Images vs. Stability AI case reinforced that developers can be sued for using copyrighted images scraped from the web.

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B. European Union

Under the EU AI Act (2024):

• developers and deployers have explicit legal duties

• dataset legality must be verified

• documentation and transparency are mandatory

• non-compliance can result in penalties

The EU firmly identifies:

developer = primary legal actor

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C. Japan

Although Japan is more permissive regarding training data, responsibility still falls on:

• the developer

• the deployer

• the commercial user

AI itself is never considered a legal agent.

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6. Why Developers Cannot Claim “It Was the AI, Not Us”

There are several reasons why this defense fails everywhere:

1. Infringement occurs during training

Training requires copying works → developer performs the copying.

2. Developers choose the dataset

Users have no influence over whether data is licensed or not.

3. Developers design the model’s capabilities

They determine whether the model can imitate styles or reproduce content.

4. Developers profit from commercialization

Profit implies responsibility.

5. AI has no agency

Only humans or legal entities can be held accountable.

Therefore, the law logically assigns liability to the party in control: the developer.

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7. Real-World Cases Supporting Developer Liability

Getty Images vs. Stability AI

Stability AI was sued for:

• scraping 12 million Getty images

• using copyrighted material without permission

• allowing output that resembled Getty’s watermarked content

Liability was placed on:

➡ Stability AI
❌ not the model
❌ not the users

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Sarah Andersen vs. Midjourney & DeviantArt

Artists alleged that AI systems reproduced their artistic identities.
Again, lawsuits targeted:

➡ the companies
❌ not individual users
❌ not the model

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8. Conclusion

AI developers remain legally responsible because:

✔ AI is not a legal subject

✔ developers control dataset choice and training

✔ copyright infringement happens during training

✔ developers design the system’s capabilities

✔ developers profit from the system

✔ global regulations impose obligations on developers

In short:

When AI breaks the rules, the law looks for the humans behind it.

And the first in line is always the AI developer.