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In the United States, a person may be able to claim copyright in human-authored expression within a work made with generative AI, but prompts alone do not establish authorship of expression the model determines. Separately, copying copyrighted works to train a model may or may not be fair use: the answer depends on the particular use and its circumstances. Those are distinct questions, and neither has a universal answer that makes every AI output protected or every training use lawful.

Can AI-generated work be copyrighted?

The U.S. Copyright Office’s Part 2 report says copyright can protect output when a human author determined sufficient expressive elements. The relevant question is not simply whether a person used an AI system, but which expression in the resulting work is attributable to human authorship. The Office’s analysis is guidance from the agency, not a final ruling by the Supreme Court or a blanket rule for every dispute. Read the Part 2 report for its full analysis.

Human expression that remains in the result

If a person supplies text, artwork, or other protectable expression that remains perceptible in the final output, that human-authored material may be protected. The claim would concern the human contribution, not automatically every element the model generated around it.

Creative selection, arrangement, or modification

A person’s creative choices in selecting, coordinating, arranging, or modifying material can also support protection for those human contributions. For example, a larger work may contain AI-generated material while still embodying human-authored expression in its composition or edits. Using AI as an aid, or including AI-generated material in a human-made work, does not by itself make the entire work uncopyrightable.

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Why prompts alone are not enough

Under the Copyright Office’s analysis, prompting a model—even repeatedly or in detail—does not by itself establish that the person determined the expressive elements the system produced. Prompt length, sophistication, or iteration is not an automatic route to copyright. The key distinction is between directing a system to produce expression and making human-authored expression that is perceptible in, or creatively shapes, the result.

When the Office released Part 2 on January 29, 2025, Register of Copyrights and Director Shira Perlmutter said, “Where that creativity is expressed through the use of AI systems, it continues to enjoy protection.” The Office said more than 10,000 responsive public comments informed its conclusions. These statements appear in the Part 2 release.

Is training an AI model on copyrighted works fair use?

That is a separate issue from whether a person can copyright an output. A training dispute concerns the copying of works to build or use a model; an output-authorship dispute concerns who created expressive elements in a particular result. A finding on one question does not decide the other.

Fair use is assessed under the statutory factors, considered together in light of copyright’s purposes. The Copyright Office’s Part 3 analysis says there is no mechanical formula that resolves every training use. It expects the first factor, purpose and character of the use, and the fourth factor, effect on the market for the works, to carry considerable weight in many AI training analyses. The statutory source is Title 17; the Office’s discussion is in its Part 3 pre-publication report.

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Uses the Office views as more likely to be fair

The Office says noncommercial research or analysis that does not enable portions of the works to be reproduced in model output is likely to qualify as fair use. That is the Office’s assessment of a category of uses, not a guarantee for a particular system or a court judgment resolving every factual variation.

Uses the Office views as less likely to be fair

At the other end of the spectrum, the Office says copying expressive works from pirate sources to generate unrestricted material that competes in the marketplace is unlikely to qualify as fair use when licensing is reasonably available. The combination of source, purpose, output capability, competition, and licensing matters to that assessment; copying copyrighted material for training is not automatically either lawful or unlawful.

Why outputs and licensing affect the market analysis

Market effects are not limited to a model producing verbatim copies. The Office discusses the risk that substantially similar outputs could substitute directly for training works, as well as possible dilution of markets for similar works through stylistically similar output. It also says existing or feasible voluntary licensing can weigh against fair use under the fourth factor. Whether any of these considerations is decisive depends on the evidence and the particular use before a court.

What do the training cases establish?

The Copyright Office’s Fair Use Index records different outcomes in two 2025 Northern District of California cases. The index is a useful signpost, but its labels do not make either case a universal ruling on all AI training. The available index entries do not, by themselves, set out the full facts or procedural limits needed to compare the cases in detail.

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Case Fair Use Index label What the label establishes
Kadrey v. Meta Platforms, Inc., 788 F. Supp. 3d 1026 (N.D. Cal. 2025) Fair use found The index reports a fair-use finding in that case; the label alone does not establish that all model training is fair use.
Bartz v. Anthropic PBC, 787 F. Supp. 3d 1007 (N.D. Cal. 2025) Mixed Result The index reports a mixed result; the label alone does not establish a single outcome for every copying or training practice.

For either case, the questions relevant to a broader comparison include how the works were acquired, the purpose and commercial context, whether outputs could reproduce or substitute for protected works, whether licenses were available, and the scope and procedural posture of the decision. Courts decide disputes on specific records. The Copyright Office’s Fair Use Index provides the case labels, not a categorical resolution of the training debate.

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What is the status of the Copyright Office reports?

The Copyright Office’s Copyright and Artificial Intelligence initiative page identifies Part 3 as a pre-publication version released May 9, 2025, and says a final version will be published in the future. Part 3 is therefore an agency analysis, not a court judgment, and should not be described as the Office’s final report. The Office’s December 2025 Title 17 publication says it includes amendments enacted through December 18, 2025. Copyright rules and litigation outcomes are U.S.-specific; other jurisdictions may apply different authorship rules, text-and-data-mining exceptions, licensing requirements, and enforcement approaches.

What the U.S. copyright baseline protects

The Copyright Office describes copyright as protecting original works of authorship, including literary, dramatic, musical, and artistic works. It does not protect facts, ideas, systems, or methods of operation. That baseline helps explain why an AI-related claim must identify protected human expression rather than treating a prompt, an idea, or a model’s entire output as automatically covered. See the Office’s What Does Copyright Protect? FAQ.

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