Fair use is a doctrine in US copyright law, written into 17 U.S.C. § 107. It says some uses of copyrighted material do not count as infringement, even without the owner's permission. Courts decide each case on its facts, which is why nobody can say in advance whether a given use is safe.
The four factors
A court weighs four things:
- Purpose and character of the use. Is it commercial or educational? Is it transformative, meaning it adds a new purpose or meaning rather than just copying?
- Nature of the original work. Creative works such as songs and novels get stronger protection than factual ones.
- Amount used. Copying a small piece usually helps. Copying a whole work usually hurts.
- Effect on the market. Does the new use compete with or replace the original?
No single factor decides the outcome. Fair use is also a defense. The defendant has to raise it after the owner says infringement happened.
Why AI keeps landing here
Models are trained on huge amounts of training data, much of it copyrighted. AI companies argue that training is transformative, because the model learns patterns and does not store a copy for readers. Rights holders argue that the copying is wholesale and that the outputs compete with the originals in their own market.
The US Copyright Office examined this in a 2025 pre-publication report on generative AI training. It said the analysis is highly fact-specific, that some uses will qualify as fair use and others will not, and that it focused mainly on the first and fourth factors. Commentators disagree about how much that favors either side.
What it means in practice
Fair use is not a license, and it is not a safe harbor you can claim up front. It is an argument you make if you are sued. The same training run might be fair use for one set of facts and not for another, for example if the model can reproduce a work closely.
Output matters too. A model that produces something substantially similar to a protected work faces a different question than one that only learned from it. Claims about a person's voice or likeness are usually separate legal theories, such as the right of publicity.
Fair use sits next to AI data licensing, where companies pay to avoid the question, and web scraping, the usual way data is collected. Courts are still working out how the four factors apply to large language models and other generative systems.