Does an open license always allow AI training?

No. "Open" covers a wide range — some licenses permit any use, others forbid commercial use, require attribution, or impose share-alike terms. The license name alone determines what you may do, and many open datasets are non-commercial.

What is a share-alike clause and why does it matter?

Share-alike (as in CC BY-SA or copyleft licenses) requires that derivatives be released under the same license. Depending on jurisdiction and how the data is used, this can arguably extend to model outputs or weights, creating commercial risk you must assess.

Is non-commercial data ever safe for a commercial product?

Generally no for training a product model. NC licenses explicitly prohibit commercial use, and training a model you monetise is widely treated as commercial. Treat NC sources as blocking unless you have separate permission.

Does this checker give legal advice?

No. It surfaces the standard obligations of each license so you know where to look, but license interpretation for AI training is unsettled and jurisdiction-specific. Use it to triage, then consult a lawyer on flagged sources.

What about attribution requirements?

Attribution-required licenses (like CC BY) usually permit commercial training but oblige you to credit the source appropriately. That is rarely blocking but must not be ignored — keep a record of required attributions in your data documentation.

AI Training Data License Checker

AI training data license checker

“Open” does not mean “free to do anything with.” A dataset under CC BY-NC cannot lawfully train a model you sell; a CC BY-SA corpus may drag share-alike obligations into your outputs; a CC BY source just needs proper credit. This checker lets you list every training source, pick its license, and instantly see which sources are clear, which need care, and which block commercial use.

How it works

For each source you select a license from the common open data and content licenses — public domain dedications, permissive licenses, attribution-only, non-commercial, and share-alike variants. The tool combines that with your use case (commercial vs. research, redistributed vs. internal) and applies the standard obligations of each license. Non-commercial licenses flag as blocking for a monetised product; share-alike licenses flag for attention because their reach into model weights and outputs is contested; attribution licenses flag as clear-with-obligations. The result is a per-source rating plus a summary so you know your overall exposure at a glance.

Tips and notes

The license name is the contract. Don’t assume “open” equals “anything goes” — read the specific terms behind each one.
Treat NC as blocking for products. Training a monetised model on non-commercial data is widely considered a commercial use.
Document required attributions now. Keep the list with your data records so credit obligations don’t get lost before launch.
This is triage, not legal advice. AI-training license law is unsettled; get counsel on anything flagged before you ship.