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You can use AI tools while making a game, but using an output does not automatically give you copyright in it or clear it for commercial release. Under U.S. guidance, copyright protection depends on human authorship of the expressive elements; separately, the AI service’s terms and any third-party rights can affect what you may do with an output. Treat authorship, contract terms, and clearance as separate questions.

What “ownership” means for AI-made game content

There is no single ownership rule that answers every question about an AI-assisted game. Three distinct issues matter:

  • Copyright protection: whether a person created enough of the work’s protectable expression for copyright to apply under the relevant law.
  • Provider terms: what the service agreement says about the user’s rights and responsibilities regarding inputs and outputs.
  • Third-party rights and licenses: whether an output uses or resembles protected material, or carries obligations such as an open-source license.

A provider’s promise to assign its interest in an output does not make that output copyrightable, guarantee that it is unique, or establish that no third party has rights in it. Conversely, incorporating AI-generated material does not automatically eliminate copyright in a larger work that people created.

Can you copyright AI-generated game art, audio, writing, or code?

For U.S. copyright, the central question is whether a human authored the relevant expressive elements. The U.S. Copyright Office’s January 2025 report says AI may be part of the creative process, and that human-authored work can include AI-generated material without losing protection for the human-authored contribution. The Office summarized its position this way: “The use of AI to assist in the process of creation or the inclusion of AI-generated material in a larger human-generated work does not bar copyrightability.”

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That does not mean every AI-assisted result is protected. The result depends on what a person actually contributed and the expressive content at issue. A prompt can initiate generation, but prompting alone may not establish human authorship of the generated expression. Human selection, arrangement, or modification may qualify when it reaches the applicable standard; simply accepting an output is not the same as making those contributions.

Think in layers, not all-or-nothing labels

  • Code: Identify which portions a person wrote or meaningfully revised and which portions came from a tool. Human-authored code may be protectable even if other code is not; assess the actual contributions rather than labeling the whole codebase “AI-generated.”
  • Art, animation, audio, and dialogue: Separate generated material from human-authored edits, composition, sequencing, or other expressive choices. The sources do not establish a categorical outcome for any specific asset.
  • Levels, narrative, and compositions: A human-authored selection or arrangement may have its own copyright significance even when some included elements were generated.
  • Unmodified output: Where a person has not meaningfully determined the output’s expressive elements, the basis for claiming human authorship may be limited.

These are ways to analyze a project, not guarantees that a particular contribution meets the legal threshold. The Copyright Office materials discussed here address U.S. law; other jurisdictions may treat authorship and related rights differently.

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What a tool’s terms can—and cannot—give you

Read the agreement for the actual product, account, and plan used. Provider terms are contractual allocations between the provider and user; they are not a general copyright ruling and do not settle the rights of people outside that agreement.

OpenAI individual Terms of Use

OpenAI’s individual Terms of Use say that, as between the user and OpenAI and to the extent permitted by applicable law, the user owns the output and OpenAI assigns any interest it has in that output. The same terms warn that outputs may not be unique and that other users may receive similar output. They also place responsibility on users for their inputs, applicable permissions, and evaluation of outputs. This description is limited to the individual terms cited here; business or API terms and other products may differ.

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GitHub AI features

GitHub’s Terms of Service say GitHub does not claim ownership of AI-feature input or output. They also warn that output may resemble training material or be subject to third-party copyright or open-source license terms. Users are responsible for deciding whether a third-party license applies and complying with it where needed. GitHub advises review and validation, and warns that output may be inaccurate, incomplete, nonfunctional, or implicated in intellectual-property claims.

Why generated code needs a license review

Code can raise a practical issue beyond whether a human-authored portion is copyrightable: a suggestion may resemble existing code or be subject to a third-party license. If such terms apply, shipping the code without meeting the obligations may create a problem even if the service contract gives you rights in the output as between you and the provider.

Before release, review generated code for recognizable third-party material, relevant notices, and license obligations. Check how it fits your project’s dependency and attribution policies. A provider’s output-rights language is not a substitute for that review.

How to document authorship and handle registration

The U.S. Copyright Office has guidance for registering works that contain AI-generated material. Applicants may need to identify and disclaim generated material while claiming the human-authored contribution. The guidance also recognizes that some uses of AI tools do not raise a human-authorship question requiring a disclaimer. Follow the current application instructions and describe the work accurately; do not assume every use of an AI feature must be treated identically.

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Keep records that help you explain how the work was made. Prompts, drafts, source files, revision history, and notes about human selection or modification can clarify the creative process. Recordkeeping alone does not establish copyrightability, but it can help you identify and describe the contributions you are claiming.

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A release workflow for an AI-assisted game

  1. Inventory the content. Identify shipped or marketed materials made with generative tools, including code, art, audio, text, and other assets.
  2. Separate human and generated contributions. Preserve the project’s edit history and note where people selected, arranged, wrote, or modified expressive material.
  3. Check the exact service agreement. Review the terms for the account or plan used, including output rights, input permissions, similarity warnings, indemnities, data handling, and restrictions.
  4. Review outputs for third-party issues. For code, check for recognizable material, notices, and applicable open-source obligations. For other assets, assess potential third-party artwork, music, text, trademarks, or likenesses.
  5. Prepare any registration claim carefully. Identify the human-authored material you intend to claim and follow the Copyright Office’s current instructions for disclosing and disclaiming AI-generated content.
  6. Check destination-market requirements. Confirm the current rules of each distribution platform and the laws in the countries where you plan to sell. The sources discussed here do not establish a current Steam disclosure requirement.

This workflow helps organize the questions; it cannot guarantee clearance or resolve whether a particular output infringes or qualifies for protection. That assessment depends on the actual output, inputs, agreement, creation history, and applicable law.

What is established—and what is not

The Copyright Office’s January 2025 position establishes that AI assistance is not an automatic bar to U.S. copyright protection, while requiring human authorship of the expressive elements claimed. The cited provider terms establish specific contractual language for the individual OpenAI terms and GitHub AI features described above; they do not establish universal terms for other products, plans, or jurisdictions.

No reliable measured percentage in the sources reviewed establishes how often AI-generated game assets or code are copyrightable or infringing. Nor do the cited materials determine whether a particular output copies protected expression, whether a model’s training was lawful, or what rules apply in every country. For a specific commercial release, a rights dispute, or a cross-border project, obtain advice from qualified intellectual-property counsel familiar with the relevant jurisdictions.

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