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How to Tell Whether a Video Game Mod Was Made With AI

A mod’s AI label is a useful starting point, not a forensic verdict. Check its scope, compare project history, and treat missing disclosures or provenance as inconclusive.
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Start with the mod’s disclosure on its hosting page, then check what it covers and look for corroboration in the project’s history, credits, releases, and available file provenance. A disclosure is a documented claim, not forensic proof of the entire development history; no disclosure is not proof that AI was never used. There is no validated universal test that can reliably classify any mod’s code, images, text, or audio as AI-generated.

Check the mod page for an AI disclosure

Look for an AI-generated-content or AI-assisted-use label on the mod’s hosting page. Read any explanation or linked policy, and identify the specific component involved. AI use might apply to code, textures or other assets, dialogue, names, translations, project-page text, promotional images, or a feature that relies on a generative model. A broad label may not tell you which of these applies.

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Policies differ by host and can change. Modrinth’s Content Rules and AI disclosure guidance call for disclosure in cases including substantial AI-produced code, primarily or entirely AI-produced assets, designs or functionality relying on generative AI, and AI-generated project-page elements. The guidance distinguishes these uses from minor assistance such as asking simple questions, checking grammar, or refactoring a few functions. It also says projects made entirely or almost entirely with generative AI and little human input beyond prompting or testing cannot be published publicly on Modrinth.

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Modrinth’s Content Disclosures discusses AI-generated code, distributed assets such as textures, models, and logos, generated text such as dialogue or translations, and features that depend on generative AI—for example, connecting to a local or online language or text-to-image model. Check the policy that applies to the host and the project’s current version rather than assuming one platform’s rules apply everywhere.

CurseForge’s moderation guidance describes review and reporting channels and requires a visible disclaimer for AI-modified showcase images when they could misrepresent the actual mod. That is a platform-specific requirement, not a universal rule for every mod host.

Look for corroboration in the project’s history

If the mod is open source, compare the relevant files and documentation across releases. Check dated repository changes, changelogs, credits, and author explanations for a specific AI-assisted component. This can support or clarify a disclosure, but commit patterns, an abrupt release, unusual code, or a writing style do not prove that AI was used.

If the source is unavailable, note that you cannot inspect it. You can still consider the page, credits, release history, and any available file information, but those sources may leave the origin of a component unestablished. Keep the claim proportional to what you can verify: for example, “The creator disclosed AI use for this texture,” or “The available project history does not establish whether AI was used.”

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Inspect provenance signals when available

Some supported media files may carry Content Credentials or watermark signals that provide information about origin or editing history. OpenAI’s explanation of provenance signals in OpenAI-generated content describes provider-specific signals whose coverage depends on the product, model, file type, and export path.

A supported positive signal can be evidence about the supported tool or file; it does not establish that every part of a mod was AI-made. A missing signal is inconclusive: it may not have been added, may not be supported for that output, or may have been removed during editing, conversion, or upload. Content Credentials can be lost through ordinary actions such as taking a screenshot or converting a file, and watermark signals can become undetectable after extensive changes. These signals are not a universal mod detector.

Separate documented claims from clues

When deciding what to say about a mod, distinguish among these evidence levels:

  • Documented: The creator or platform explicitly identifies AI use and names the component.
  • Corroborated: Project history or a supported provenance signal independently aligns with that disclosure.
  • Unverified: A visual, stylistic, or circumstantial clue raises a question but does not establish the component’s origin.

An odd-looking texture, generic description, unusual code, or screenshot alone is not a sound basis for accusing a creator of undisclosed AI use. If you believe a host’s policy may have been violated, use that platform’s reporting or support channel and provide the specific page, file, disclosure, or provenance evidence. CurseForge says it uses automated checks and manual review and accepts reports with supporting information.

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Keep platform policies in their proper scope

Steamworks’ AI-content announcement distinguishes pre-generated from live-generated content in guidance for Steam game submissions. That guidance is context about Steam submissions, not a universal standard for mod hosts or proof that a mod can be detected as AI-made.

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