What does Article 50 of the EU AI Act require?

Article 50 sets transparency duties: people must be told when they're interacting with an AI system such as a chatbot, AI-generated or manipulated content (including deepfakes) must be disclosed, and synthetic media should be marked. The transparency obligations apply from 2 August 2026. It is about disclosure, not banning AI.

Does my business need to label AI-generated content?

If you operate in the EU and publish AI-generated or AI-manipulated content, or run AI chatbots that interact with people, the Article 50 transparency duties are likely relevant. The practical steps are disclosing chatbots, labelling synthetic media, and keeping a record of where AI is used. Specialist advice is sensible for your specific case.

Do penalties of 7% apply to Article 50?

No. The highest AI Act fines relate to prohibited practices (Article 5), not the Article 50 transparency duties. It is misleading to attach the largest penalty figures to transparency obligations. Treat Article 50 as a real but proportionate compliance task, not a catastrophe.

AI Act Article 50: an investor's lens on AI-washing

From 2 August 2026, the EU AI Act’s transparency rules — Article 50 — start to bite. They don’t ban AI; they require you to be honest about it: tell people when they’re talking to a bot, and disclose content that’s AI-generated or manipulated. For any business using AI in customer-facing content, this turns “should we label it?” into a compliance question. For an investor, the same question reads differently: does the company you’re looking at take AI transparency seriously — or does it merely claim to? A gap between the claims and the practice is a classic AI-washing signal. Here’s what it means and where detection and labelling tools fit.

This is general information, not legal advice — your specific obligations depend on your situation.

What Article 50 actually asks for

In plain terms, the transparency duties cover three things:

Chatbots. If people interact with an AI system, they should be told — no pretending a bot is a human agent.
AI-generated and manipulated content. Synthetic media, including deepfakes, must be disclosed.
Marking synthetic media. AI-generated content should be machine-readably marked where applicable.

It’s about disclosure, not prohibition. A useful frame: Article 50 wants your audience to know what’s AI, not to stop you using it.

A note on the scary numbers

You’ll see headlines about fines of “7% of turnover.” Those relate to prohibited practices under Article 5, not the Article 50 transparency duties. Attaching the biggest penalty figure to transparency obligations is misleading. Article 50 is a real, manageable compliance task — treat it proportionately, not as a doomsday clock.

Where detection and labelling tools fit

Two practical needs follow from the rules, and tools help with both:

Disclosing and labelling your own AI content. Process and clear labelling matter more than any single tool, but content-provenance standards (such as C2PA content credentials) and your CMS workflow do the heavy lifting.
Checking content you receive or publish. If you commission content and need to know whether it’s AI-generated — for editorial standards or for honest labelling — AI detectors are the practical check. We compare them in the best AI detectors guide, including Originality.ai and Copyleaks (affiliate partners — see our disclosure). As always, treat a detector as a signal, not proof.

A simple compliance starting point

Map where you use AI in customer-facing content and chat.
Disclose chatbots clearly at the point of interaction.
Label AI-generated and manipulated media.
Keep a record of where and how AI is used.
Get specialist advice for your specific obligations.

Where to get help

This is the practical, compliance-and-deployment side of AI — a different job from market analysis. If you want the obligations mapped out step by step, audytAI’s guide to EU AI Act compliance for companies is a solid starting point, and the implementation studio managerAI helps with the rollout itself. And for the deeper defensive and detection playbooks — spotting deepfakes, manipulated AI output and the like — our sister project counterAI goes further than we do here.

The transparency rules are not the end of AI in business — they’re the start of doing it openly. Companies that label honestly will look more trustworthy, not less.

General information, not legal advice. Regulatory details were current as of mid-2026; confirm your specific obligations with a qualified adviser.

We report facts with sources and dates. We never label a named company as fraudulent or "AI-washing" as a statement of fact — we present verifiable data and the questions an investor should ask.