AI Vocabulary · 08 Rules & Responsibility
What is Copyright & AI?
The open legal questions around training AI on protected works and who, if anyone, owns what AI generates.
Copyright and AI meet in two places. The first is input: models are trained on huge amounts of text, images and code, much of it protected by copyright. In the EU, text and data mining is allowed under certain conditions, and rights holders can opt out; providers of general-purpose AI models must have a copyright policy and publish a summary of their training content. In several countries, courts are still deciding major cases.
The second is output: copyright generally protects human creative work. Content generated by AI with little human creative input may not be protected at all, while work where a person makes substantial creative choices can be. Outputs can also accidentally resemble existing protected works.
Why it matters for you
If your business depends on owning what you publish, such as brand assets, books, code or designs, purely AI-generated material may give you weaker rights than you assume. And using AI to imitate a specific artist, brand or text closely can create infringement risk.
Own it
Keep meaningful human authorship in work you want to own, document your creative process, check provider terms on output ownership and indemnities, and don't prompt for close copies of others' work. This is a fast-moving area. This entry is an overview, not legal advice.
Where it comes from
The question of who may train AI on whose work is shaped in the EU by the 2019 Copyright in the Digital Single Market Directive. Its text and data mining exception allows mining lawfully accessible content, but rightholders can opt out for commercial uses. The EU AI Act later required providers of general-purpose AI models to have a copyright policy and publish a summary of their training content.
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