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There is no single global rule that makes the user, AI provider, or training-data creator the automatic owner of every AI-generated result. The answer depends on where the relevant conduct occurs, what human creative work went into the result, whether protected material or a person’s likeness is involved, and what the applicable contracts say.
Separate the four questions before deciding who can use an AI result
“Who owns it?” can mean several different things. A creator may have rights in their own contributions while separate questions remain about training material, similarity to existing work, a depicted person’s identity, and contractual permissions.
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- Input rights: Were copyright-protected works copied or otherwise used to train, retrieve, fine-tune, or operate the system, and what law or licence applies?
- Copyright in the output: Did a human make enough original expressive choices for copyright to protect some or all of the result?
- Similarity: Does the result reproduce a substantial part of someone else’s protected work?
- Identity and contract: Does the result simulate or depict a person, and do consent, personality, employment, commissioning, or AI-service terms affect its use?
These questions are related but do not answer one another. A user’s rights in human-created elements do not by themselves settle whether training was lawful, whether an output copies another work, or whether a person consented to a digital replica.
What the United States says about copyright in AI-assisted work
In its January 29, 2025 report on copyrightability, the U.S. Copyright Office said copyright can protect AI output when a human author determines sufficient expressive elements. The Office’s stated view is that prompts alone do not establish that human authorship. It also says AI assistance, or including AI-generated material in a larger human-created work, does not automatically prevent copyright protection. These are the Office’s published positions under U.S. copyright law, not a worldwide rule.
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What human contribution can look like
The Office identifies human-authored material perceptible in an output, and a human’s creative arrangement or modification, as possible bases for protection. The practical question is not simply whether someone typed a prompt or clicked “generate”; it is what expressive material that person actually determined, selected, arranged, or changed.
- A person who uses a generated image as one element in a larger work may have copyright in their own human-authored contributions, even if the generated element itself is not protected.
- Substantial human revision or creative arrangement may support protection for those human contributions. The result depends on the work and the contribution, not just the tool used.
- Keep drafts, source files, revision history, and notes that show the human creative process. Records can help explain what was contributed, though keeping them does not itself guarantee copyright.
The Copyright Office’s AI study page lists Part 1, on digital replicas, as published July 31, 2024; Part 2, on copyrightability, as published January 29, 2025; and Part 3, on generative-AI training, as pre-publication in the status recorded October 7, 2026. Part 3’s status is distinct from the published Part 2 position on authorship.
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How the UK approach differs
The UK Government’s December 2024 consultation describes several categories that should not be collapsed into one. It distinguishes human-authored works made with AI assistance, certain “entrepreneurial works” such as sound recordings and films, and computer-generated works under section 9(3) of the Copyright, Designs and Patents Act 1988. Its account of section 9(3) concerns literary, dramatic, musical, or artistic works generated without a human author: authorship is assigned to the person who undertook the arrangements necessary for creation, and the term described is 50 years.
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That computer-generated-work provision is not the U.S. rule. The UK Government’s March 18, 2026 report revisits the provision and notes uncertainty and limited evidence about how it is used. The consultation also says that in AI-assisted co-creations the human creator will be considered the author. The specific work and facts matter; do not assume that the UK provision makes every user of a generative tool the author or owner of every output.
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Training data: permission and legality remain contested
There is no settled global answer in the sources reviewed to whether using copyrighted works to train AI is permitted. The UK Government’s December 2024 consultation describes disagreement between creators and AI developers about how existing copyright rules and exceptions apply. Rights holders report difficulty controlling use and obtaining remuneration; developers report legal uncertainty. The consultation also points to litigation in several jurisdictions, including Getty Images v Stability AI in the UK, and says definitive case-law resolution could take several years. That is the consultation’s account of the dispute, not a prediction of any case’s outcome.
The UK Government’s March 2026 report reviews transparency about training data, technical measures, licensing, and rights-reservation tools, while recognizing practical challenges. The report’s summary also describes EU AI Act requirements for general-purpose AI model providers to have a policy for complying with EU copyright law and to publish sufficiently detailed summaries of training material. Those transparency duties should not be confused with a blanket permission to use every work for training or a guarantee that any particular output is lawful.
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For a creator or publisher, the relevant questions include whether a work was copied or otherwise used, the purpose and location of that use, whether an applicable licence or exception covers it, and whether rights were reserved or otherwise communicated. The answer can vary by jurisdiction and by the particular use; a tool’s availability does not establish that all inputs were authorised.
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Training legality and output infringement are separate issues. The UK consultation says that an AI output containing a substantial part of a copyright work may infringe if no licence permits it. Whether a particular result crosses that line depends on the work, the material reproduced, and the applicable law. A system’s training on a work does not by itself establish that every output copies it; conversely, an output that reproduces protected expression can raise concerns regardless of what the user intended.
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- Compare the result with the specific work it may resemble, looking for reproduced expression rather than only a shared idea, style, subject, or general convention.
- Check whether the relevant output or use is covered by a licence, permission, or other applicable legal basis.
- If the resemblance is material and commercial use is planned, pause publication and seek jurisdiction-specific advice rather than relying on an AI service’s general terms.
A person’s voice or likeness requires a separate consent check
A generated voice, face, or likeness raises questions distinct from copyright in the training inputs and in the output. The UK consultation identifies digital replicas that may reproduce a person’s voice, appearance, or likeness without consent as a live concern. Permission to use a source photograph, recording, or other work is not automatically consent from the person depicted or heard to simulate them. The sources summarized here do not settle every personality-right, privacy, or publicity-right question across jurisdictions.
Before using a realistic replica, identify whose identity is represented, what consent or other rights apply where the person and the use are connected, and whether the intended context or audience changes the risk. A licence from a photographer or record label may address rights in a work without addressing the person’s consent.
Contracts can change what you are allowed to do
Copyrightability is not the same as a contractual right to use a service or distribute its output. Review the current terms of the AI service and any relevant employment, commissioning, client, contributor, or distribution agreement. Check who may use outputs, whether use is restricted by plan or purpose, what warranties or indemnities apply, and whether confidential or third-party material may be submitted. These agreements can allocate obligations or permissions between parties, but they do not automatically resolve a third party’s copyright or likeness claim.
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A practical review before publishing AI-assisted work
- Identify the jurisdiction: Note where the creator, service, subject, and relevant use are located. Copyright and digital-replica rules are not uniform worldwide.
- Record the human contribution: Preserve prompts alongside drafts, edits, selections, arrangements, and other evidence of human expressive decisions. Prompts alone do not meet the U.S. Copyright Office’s stated authorship standard.
- Check input provenance: Determine what source material was supplied or retrieved, who owns it, and whether a licence or other legal basis covers the specific use.
- Review the output: Look for substantial reproduction of protected expression and for recognizable use of a person’s voice, image, or likeness.
- Read the governing agreements: Check the AI provider’s terms and any workplace, client, or publishing contract for ownership language, permitted uses, disclosure obligations, and risk allocation.
- Keep decisions auditable: Save relevant licences, permissions, terms in effect at the time, consent records, and the final human-edited version. Label or disclose synthetic content where applicable rules or agreements require it.
At a glance: what the sources establish by jurisdiction
| Jurisdiction or framework | Output authorship and protection | Training and transparency | Important qualification |
|---|---|---|---|
| United States | The U.S. Copyright Office’s January 29, 2025 position: protection may apply when a human determines sufficient expressive elements; prompts alone do not suffice. | The Office’s Part 3 training report was listed as pre-publication on its AI study page in the status recorded October 7, 2026. | AI assistance and AI material within a larger human-created work do not automatically bar protection. |
| United Kingdom | The government consultation describes human-authored AI-assisted works and a section 9(3) category for certain computer-generated works, assigning authorship to the person making the necessary arrangements and describing a 50-year term. | The government consultation describes disputes about training and existing exceptions. The March 2026 report reviews transparency, licensing, and technical measures. | The March 2026 report notes uncertainty and limited evidence about use of the computer-generated-work provision. The consultation’s account is not a universal rule. |
| European Union | Not stated in the cited UK report summary. | The UK Government’s March 2026 report summarizes EU AI Act requirements for general-purpose AI model providers to maintain a copyright-compliance policy and publish sufficiently detailed training-material summaries. | The summary does not establish that those transparency requirements amount to permission to train on any particular work. |
Sources named here are the U.S. Copyright Office AI study page and its January 29, 2025 report announcement, the UK Government’s December 2024 consultation, and the UK Government’s March 18, 2026 report. Rules, report status, and implementation can change; apply the law and contract terms relevant to the particular place, work, and use.
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