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[The Copyright Conundrum: Who Owns AI-Generated Art?]-[Can you copyright artwork made using AI?]

The Indicator from Planet Money · B1 · 2025-08-25

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📋 Summary

The Copyright Conundrum: Navigating AI-Generated Creativity

As generative artificial intelligence tools like ChatGPT and DALL-E become increasingly integrated into our creative workflows, a complex legal debate has emerged. While much of the public discourse focuses on the copyright infringement lawsuits filed by entities like the New York Times and Getty Images against AI firms for "scraping up their material," a secondary, equally thorny issue remains: the question of authorship and ownership of AI-assisted outputs.

The Human-Centric Foundation of Copyright

Intellectual property law, as described by David Feuer of the Canadian Internet Policy and Public Interest Clinic (CIPPIC), has traditionally functioned as a system designed to create "incentives and rewards for humans to make things." The core requirement for copyright protection is that a work must be "produced by a human." Natural phenomena, such as the Grand Canyon, cannot be copyrighted because there is no human author behind their creation.

When applied to AI, this creates a spectrum of involvement. At one end, a simple text prompt—such as "show me a cat"—results in an image where the "human effort involved is just so minimal" that most IP lawyers agree it is ineligible for copyright protection.

The "Suryasth" Experiment: A Test Case

To challenge these boundaries, Ankit Sani, an IP lawyer based in India, conducted an international experiment during the pandemic. Sani used an AI app to transform his own photograph of a sunset into the artistic style of Vincent van Gogh’s The Starry Night. He named the resulting image "Suryasth" (the Hindi word for sunset) and attempted to register it in India, the United States, and Canada.

This experiment highlighted the lack of unified international rules regarding AI. The outcomes were disparate:

  • India: The application was granted, withdrawn, and eventually upheld.
  • The United States: The application was rejected on the grounds of having a "non-human author," a decision that was upheld on appeal.
  • Canada: Because the registration process is "basically automated" with "no human review," Sani successfully entered the registry.

David Feuer and his colleagues at CIPPIC sought to expunge this registration, arguing that it incorrectly signaled that AI-generated work could be copyrighted, which prompted a legal battle that underscored the fragility of current registration systems.

The Future: A "Moving Target"

As law professor Carys Craig notes, these early registry decisions serve as "first indicators" of how AI-generated work might eventually be treated. The United States has begun to "carve out" AI-generated components from human-created ones, as seen in the case of a mosaic titled A Single Piece of American Cheese, where the artist was granted protection only for the "arrangement of the AI-generated pieces."

The central challenge for the legal system is the difficulty to "parse what did the AI do generate versus what did the human author or user create." With AI now being integrated directly into software used for writing, drawing, and coding, defining the threshold for copyright eligibility is increasingly becoming a "moving target." As we look toward future court cases, experts will be tasked with dissecting the specific levels of human contribution, but as technology evolves, the line between human creativity and machine generation will only become more blurred.

🎯Key Sentences

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That sounds terrific.
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There's lots of stuff out there that's beautiful.
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I won't be launching my illustrious art career that way.
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So we relax in very different ways.
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Yeah, totally.
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📝Key Phrases

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issue at hand
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broad strokes
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work out
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figure out
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tinker around
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📖 Transcript

NPR. This is The Indicator from Planet Money.
I'm Waylon Wong. probably heard about all the lawsuits against AI companies by groups of writers, the New York Times, Times, and Getty Images.
They've all alleged the big AI firms violated their copyrights by scraping up their material to train AI systems. there's another issue at hand, too.
And joining me to talk about that today is Emma Jacobs.
Welcome. Hi. Hi Emma, and you are a reporter in beautiful Montreal, Canada.
I am, thank you for having me. And that other copyright issue being raised by generative AI tools like ChatGPT and DALI is who owns the stuff they produce.

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