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There is no single yes-or-no answer. Whether AI training on your data is lawful depends on what the data is, how it was obtained and copied, what the training is for, and which country’s law applies. In the United States, fair use is decided case by case, and there is no blanket rule either way. In the United Kingdom, existing law still applies while the government considers whether to reform it. In the European Union, the AI Act requires certain providers of general-purpose AI models to have a copyright-compliance policy and to publish a summary of their training content. Those are transparency and compliance duties, not a general license to use any work. Copyright and personal-data law are also separate questions, and each needs its own analysis.
Copyright and personal data are separate questions
Copyright protects original creative expression, such as a novel, a photograph, a song, an article, or source code. Personal-data law protects information about identifiable people. A single training dataset can raise both questions. A photograph of a person can raise both, while a spreadsheet of names and addresses may raise only the privacy question. Answering one does not answer the other.
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Whether a particular person’s personal data can be processed for a particular training purpose depends on the regime that governs it, such as the GDPR in the EU, UK data-protection law, or U.S. state privacy laws. Copyright analysis does not answer that question.
How copyright works in the US, UK and EU
The table below shows the practical difference between the three jurisdictions. The sections that follow explain each one.
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| Jurisdiction | What governs training questions | Does a current rule settle whether training is lawful? | Status in the sources cited |
|---|---|---|---|
| United States | Copyright law, including fair use, applied case by case | No. Courts decide individual cases. The Copyright Office report is an analytical framework, not a ruling. | Part 3 report, pre-publication version, May 2025 |
| United Kingdom | Existing copyright law, which applies territorially | No. The government has not reformed the law and reports no consensus on a new approach. | Government report, March 2026 |
| European Union | Union copyright law, including text-and-data-mining rights reservations, plus the AI Act | No. The AI Act adds copyright-policy and training-summary duties for in-scope general-purpose AI model providers. These are not a general permission. | Consolidated AI Act text dated 27 July 2026; Commission summary template published 24 July 2025, as reported in the UK government’s March 2026 report |
United States
The U.S. Copyright Office’s report on generative AI training, Part 3, is a pre-publication version dated May 2025. It analyzes fair use, licensing, acquisition, training, and outputs. The Office states: “Without opining on specific cases, we provide an analytical framework for identifying relevant facts and policy considerations.” The report identifies four stages where copyright questions can arise: collecting and curating material, training, retrieval-augmented generation, and outputs. It also reports that more than 10,000 comments were submitted in response to the Office’s 2023 notice of inquiry.
In practice, fair use is a case-specific analysis. Training is not automatically fair use, and unlicensed training is not automatically infringing. When the May 2025 report was prepared, dozens of U.S. lawsuits were pending. That is a qualitative description of that period, not a current count, and the report does not decide those cases.
The Office’s AI page states that Part 3 was released in pre-publication form on May 9, 2025, and that a final version will be published later without expected substantive changes to its analysis or conclusions. Check that page before describing the report as final.
United Kingdom
The UK Government’s report on copyright and artificial intelligence was published in March 2026 under sections 135 and 136 of the Data (Use and Access) Act 2025. It covers access to and use of copyright works in AI development, transparency, technical measures, licensing, and enforcement.
The government says it will not change copyright law until it is confident that reforms will meet its objectives. It reports no consensus on how to balance rewards and protection for rights holders against developers’ access to quality content. It also says that a broad exception with an opt-out is no longer its preferred approach. The government states: “We will not introduce reforms to copyright law until we are confident that they will meet our objectives for the economy and UK citizens.”
The government’s position is policy, not a court decision that settles training conduct. The report discusses a first UK court ruling on copyright and AI training and notes that its interpretation was under appeal. Treat that ruling as provisional. The sources here do not establish its current appellate status. The report also explains that copyright is territorial, so the place where copying happens can affect which copyright law governs. This matters when collection and training span several countries.
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European Union
Regulation (EU) 2024/1689, the AI Act, sets duties for providers of general-purpose AI models. Under the consolidated text dated 27 July 2026, these providers must have a policy to comply with Union copyright and related-rights law. That policy must include identifying and complying with rights reservations expressed under Article 4(3) of Directive (EU) 2019/790, which covers text and data mining. Providers must also draw up and publish a sufficiently detailed summary of their training content, following the AI Office template.
The UK government’s March 2026 report explains that these summaries are intended to be generally comprehensive and to help enforce copyright and other rights. It also states that they do not require a work-by-work assessment. The report says the Commission’s template was published on 24 July 2025.
These duties apply to the specified provider and model category. They do not permit training on any copyrighted work. Whether a particular use is permitted still depends on the applicable copyright law, any rights reservation, any license, the facts, and any exception that applies.
Does “publicly available” mean AI can use it?
No, not by itself. Material that anyone can view online is often still protected by copyright, and being viewable is not a license. Two things a reader can check are whether the owner has reserved rights against text and data mining and whether the material is covered by a license. In the EU, providers of general-purpose AI models must identify and comply with rights reservations under Article 4(3) of Directive (EU) 2019/790. Beyond that, the position depends on the jurisdiction, the license terms, and how the material was copied.
Facts that decide a specific case
Because the answer turns on facts, the following points are the ones to establish before drawing any conclusion. They are issue-spotting questions, not a substitute for applying the law to the evidence.
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- Authorization and access: whether the material was licensed, lawfully accessed, or obtained in a way that the source’s terms restrict.
- Copies made: each copy made during collection, curation, and training can raise its own question.
- Place of copying: under the UK analysis, the place where copying happens can determine the governing copyright law.
- Purpose and method: whether the use is commercial, how transformative it is, and how the model is trained.
- Market effects: whether the use affects the market for the original work or for licenses to it, a central factor in U.S. fair-use analysis.
- Rights reservations and licenses: whether the owner has reserved rights or granted a license.
- Memorization and outputs: whether the model can reproduce the material. Outputs are a separate stage where copyright questions can arise.
- Personal data: whether personal data is involved, and which privacy regime governs it.
Can you tell whether your data was used to train a model?
From the outside, usually not. The sources cited here do not establish a way to confirm whether a named provider used a particular person’s material. The following are the places to look:
- Published training-content summary. Where a provider is an in-scope general-purpose AI model provider under the EU AI Act, it must publish one. The summary is designed to help enforcement, but it does not list each work.
- Privacy policy and terms. These describe what data the provider says it uses for training.
- Opt-out or rights-reservation mechanisms. If a provider describes one, record what you submitted and when. The sources cited here do not establish whether opt-out requests are honored.
A provider’s transparency statement does not by itself prove that every underlying use was lawful. A published summary is a starting point for checking, not proof of compliance.
What this overview does not establish
- Whether a particular person’s personal data may be used for a specific training purpose under the GDPR, UK data-protection law, U.S. state privacy laws, or other regimes.
- Whether any named AI provider used a particular person’s material, or whether an opt-out request was honored.
- Developments after the dates of the sources cited, including the outcome of appeals and any final version of the U.S. Copyright Office report.
This is not legal advice. For a consequential matter, identify the jurisdiction, the data and rights involved, how the material was acquired, which provider and model are involved, and what training or deployment took place. Then take those facts to a qualified lawyer.
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