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The AI Act has entered its next phase: what does the labelling of AI content mean for students and teachers?
What has come into effect
On August 2, 2026, the Artificial Intelligence Act (AI Act) came into general effect. The most notable change is the transparency obligations set out in Article 50:
- Users must be able to recognise that they are communicating with an AI, unless this is already apparent from the context. This applies to chatbots, virtual and voice assistants, and AI agents that independently process orders or correspondence. According to the European Commission’s guidelines, they must also state on whose behalf they are acting.
- Deepfakes must be clearly labelled. These are images, audio or video that resemble real people or events.
- Providers of generative systems must label their outputs in a machine-readable format so that they can be detected as having been generated or modified by AI.
At the same time, from this date, the European Artificial Intelligence Authority has been granted the power to enforce the rules for general-purpose AI (GPAI), including large language models. Among other things, their providers must provide a summary of the training data’s content and demonstrate compliance with copyright laws.
In the Czech Republic, according to a proposal by the Ministry of Industry and Trade, the Czech Telecommunications Office is to be the main supervisory authority. However, the obligations under the European Regulation apply directly and do not await the adoption of the Czech implementing legislation.
What does this mean for us at the faculty?
The AI Act is primarily aimed at providers and organisations that deploy AI systems. The direction, however, is the same: transparency is becoming the norm.
In practical terms, this means:
- Keep a record of which tool you have used and for what purpose – it can be difficult to trace this retrospectively.
- Label AI-generated images, audio and video in presentations or publications, even if Article 50 of the AI Act does not apply to you.
- Use labels such as ‘AI-generated’ for fully generated content and ‘AI-modified’ for modified content. Routine editing tasks such as proofreading, formatting changes, noise reduction or minor image corrections are generally not subject to the labelling requirement.
If you have any questions about the use of AI in your studies, teaching or research, please get in touch with us.
