AI transparency has moved from a policy discussion into something brands and agencies now need to consider within everyday content production.
On 2 August 2026, new EU rules on the transparency of AI systems took effect. They cover specific uses of AI, including certain AI-generated or manipulated content and situations where users need to know they are interacting with an AI system.
For organisations working across multiple markets, this creates a practical language challenge. When transparency information accompanies a piece of content, that information needs to remain clear as teams translate, adapt and distribute it internationally.
Accurate Translation Does Not Always Mean Clear Communication
A disclosure might make perfect sense in its original language. Once it enters a multilingual campaign, the situation becomes more complicated.
Terms such as AI-generated, AI-assisted or manipulated content may carry different levels of familiarity from one market to another. A direct translation can preserve the meaning of the words while leaving the audience unsure about what the disclosure means in practice.
Brands need their customers to understand the information. Agencies need that clarity to survive the production process.
That means teams should treat transparency information as part of the content itself, rather than something they add at the end.
Transparency Needs to Travel With the Campaign
Imagine an agency creates an AI-generated video campaign for a global brand. The original version contains the appropriate transparency information.
Regional teams then subtitle the video, adapt the creative, translate the supporting copy and resize assets for different platforms. Without clear instructions, teams could change the disclosure, separate it from the content or translate it in a way that feels unfamiliar to the local audience.
The campaign has reached every market, but the transparency around it has become inconsistent.
Including disclosure requirements in the localisation brief can prevent that problem before teams begin adapting the work.
Where Language Expertise Matters
In-market linguists can look beyond whether the translation is technically correct. They can assess whether local audiences will understand the terminology, whether the intended meaning remains clear and whether teams use consistent language across campaigns and channels.
For brands, that helps protect clarity and trust across markets. For agencies, it helps protect the integrity of the work as multiple teams and partners handle the same campaign.
As AI becomes a bigger part of global content production, organisations will need to think about more than how they translate the content AI helps create.
They will also need to translate the explanation of AI itself.
Talk to Creative Translation about multilingual AI workflows:
info@creativetranslation.com
