AI and copyright: what content creators need to know

If you write, photograph, illustrate or produce content for a living, generative AI concerns you twice: as a tool you use and as a system that may have learned from your own work. The relationship between AI and copyright is a moving target, with lawsuits pending and regulation evolving, but the underlying principles and the practical precautions are already clear. Let's go through them, with one necessary caveat: this article gives you orientation, it does not replace legal advice on your specific case.

Who is the author of a generated work

Copyright, in the European tradition as in many other legal systems, protects creations of the human mind: it is the creative character of a person's contribution that gives rise to protection. Hence the most cited principle in this area: an output generated entirely by a machine, with no recognisable human creative contribution, is unlikely to enjoy the full protection reserved for authored works.

The practical consequence is less abstract than it sounds: if your work consists of pressing a button, what you get may not be protectable, and you would therefore struggle to stop others from using it. If instead AI is a tool inside a creative process of yours, with substantial selection, editing and composition on your part, the final result has a flesh-and-blood author again. The more your contribution can be documented, the stronger your position.

The training data question

The other side of the issue concerns how the models were built: generative systems learn from enormous amounts of text and images, some of it protected by copyright. Whether and under what conditions this use is lawful is the subject of litigation and regulatory action in several jurisdictions, and there is no definitive answer yet.

For content creators, the topic has two concrete angles. As a rights holder, you can look into the rights-reservation and data-collection opt-out mechanisms that European law and individual platforms make available. As a user of AI tools, you are better off choosing providers that are transparent about their training sources and the protections they offer users, because seriousness on this point is an indicator of the overall reliability of the service.

The practical risks for content producers

Beyond the principles, here is where we have seen the concrete problems arise:

• Outputs that resemble existing works. A generated image or text can closely reproduce the style or recognisable elements of a protected work, or include other people's trademarks and characters. Whoever publishes is responsible for what they publish, regardless of how they obtained it.
• Ignored terms of use. Every tool has different conditions on ownership of outputs, permitted commercial uses and the use of your inputs to train models. Read them before uploading client material.
• Confidentiality breached upstream. Pasting texts, data or drafts covered by confidentiality agreements into an AI tool can itself constitute a contractual breach, before any copyright question even arises.
• Implicit representations to clients. If you deliver content largely generated by a machine as original work, and the contract called for a creation of yours, the problem is contractual as well as ethical.

How to protect yourself in contracts

The most effective protection today comes not from the courts but from the contracts you sign. The points to put in writing, whether you sell content or commission it:

• transparency about AI use: if, where and to what extent generative tools may enter the production process;
• ownership and warranties: who guarantees the originality of the result and who is liable if content infringes third-party rights;
• confidentiality of materials: which documents and data may be processed with external tools and under what conditions;
• documentation of the process: drafts, working files and intermediate steps kept as evidence of the human contribution.

For those who commission content, the same clauses read in reverse are the checklist for choosing suppliers: whoever agrees to put them in writing is working in an orderly way.

Good operational habits to adopt right away

While the regulatory framework settles, a few habits reduce risk starting now: use AI as a support tool and keep a documented creative contribution of your own; check outputs before publishing them, including a reverse image search for visuals; keep working versions; keep a record of the tools used for each project; and inform clients about how you work, which is also a trust factor.

The same goes for your website: the texts and images you publish must have a clear provenance and rights in order, because that is where your work is exposed to the public. When we build websites and eCommerce for creatives and studios, managing content and credits is part of the project.

Secure your online presence

If you create content and want a site that showcases your work with content and rights in order, we can help. We build websites and eCommerce for creative professionals, from portfolio to sales. Book a free call and let's talk about your project.