Compliance

EU AI Act Article 50: AI Labeling Obligations in 2026 and What Changes in December

Article 50 has applied since August 2, 2026. Which duties your company has, and when you are the provider yourself.

Author
Kutluhan Abut
Kutluhan Abut
Information Security & AI Governance Specialist
Published on
4.11.2026
Updated on
4.11.2026
EU AI Act Article 50: AI Labeling Obligations in 2026 and What Changes in December

Key takeaways

  • The transparency and labeling obligations in Article 50 of the EU AI Act have applied since August 2, 2026, in every EU member state. The Digital Omnibus, Regulation (EU) 2026/1744, did not postpone them.
  • The Omnibus postponed the high-risk obligations instead: to December 2, 2027, for Annex III systems and to August 2, 2028, for Annex I systems.
  • Most companies are deployers. They must disclose deepfakes and AI-generated text on matters of public interest (Art. 50(4)), at the latest when people first see the content.
  • A company that builds a chatbot on a third-party model and runs it under its own brand on its website is usually the provider of that chatbot, and must tell users they are talking to an AI (Art. 50(1)).
  • December 2, 2026, only ends the grace period for machine-readable marking by providers of generative systems placed on the market before August 2, 2026. Breaches of Article 50 can cost up to EUR 15 million or 3 percent of worldwide annual turnover.

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Article 50 of the EU AI Act affects almost every company that uses generative AI: the chatbot on the website, ad visuals from an image generator, blog posts drafted with AI. It has been law since August 2, 2026. Even so, many teams still believe the Digital Omnibus pushed it back. It did not.

This article answers three questions: what you must label, since when, and what changes on December 2, 2026. For the full picture of risk classes, deadlines, and enforcement, start with our guide to the EU AI Act and what it requires of companies.

What Article 50 Requires

Article 50 sets out four transparency duties. Two fall on providers, the companies that develop an AI system or place it on the market or put it into service under their own name. Two fall on deployers, the companies that use an AI system under their own authority in a professional context.

  • Art. 50(1), telling people they are dealing with an AI (providers): Providers must design AI systems that interact directly with people so that those people learn they are talking to an AI. The Commission reads the exception for cases where this is obvious narrowly: a support chatbot that customers could mistake for a human does not qualify.
  • Art. 50(2), machine-readable marking (providers): Providers of systems that generate synthetic audio, image, video, or text mark the output in a machine-readable format, for example with watermarks or metadata, so that it can be detected as artificially generated.
  • Art. 50(3), emotion recognition and biometric categorization (deployers): Deployers of these systems inform the people exposed to them.
  • Art. 50(4), deepfakes and text (deployers): Deployers disclose that image, audio, or video content is artificially generated or manipulated when it is a deepfake. The same applies to AI-generated text published to inform the public on matters of public interest.

Article 50(5) applies to all four: the information must be clear and distinguishable and must reach people at the latest at their first interaction with the system or their first exposure to the content.

Article 3(60) defines a deepfake as AI-generated or manipulated image, audio, or video content that resembles existing persons, objects, places, entities, or events and would falsely appear to a person to be authentic. The Commission's guidelines of July 20, 2026, give advertising examples. An AI product image that makes the product look better than it really is counts as a deepfake. A real product in front of an AI-generated background does not, as long as the ad does not mislead about the product.

A common misconception is that the image generator's watermark takes care of labeling. Machine-readable marking under Article 50(2) is the provider's job, and people usually cannot see it. The guidelines state that deployers cannot rely on that marking to meet their own disclosure duty under Article 50(4). You have to add the visible label yourself.

What Was Postponed and What Was Not

Regulation (EU) 2026/1744 of July 8, 2026, in force since July 27, 2026, postponed the high-risk obligations, not Article 50. Labeling has exactly one transitional rule: providers of generative systems placed on the market before August 2, 2026, have until December 2, 2026, to add machine-readable marking. The text of the Regulation on EUR-Lex sets out every amendment.

ObligationOriginal dateDate after Regulation (EU) 2026/1744
Article 50 transparency obligationsAugust 2, 2026Unchanged, August 2, 2026
Art. 50(2) machine-readable marking for systems on the market before August 2, 2026August 2, 2026December 2, 2026
Annex III high-risk AIAugust 2, 2026December 2, 2027
Annex I high-risk AI (embedded in products)August 2, 2027August 2, 2028

Many law firm articles and fact sheets written before the Omnibus still carry the old dates. Anyone who reads there that "the AI Act was postponed" is mixing up the high-risk rules with the rest of the Regulation. Our article on high-risk AI under the EU AI Act explains which systems count as high-risk from December 2027.

Two aids now support implementation. The Commission published the final Code of Practice on marking and labeling of AI-generated content on June 10, 2026, and the Commission and the AI Board have confirmed it as an adequate voluntary tool. By the end of July 2026, around 190 companies and organizations had signed it. The Commission's guidelines on Article 50 followed on July 20, 2026; they are not legally binding. If a code proves inadequate, the amended Art. 50(7) allows the Commission to adopt an implementing act.

Provider or Deployer: Which Duty Applies to Your Company?

Your role decides which of the four duties you must meet. Under Art. 3(3), a provider develops an AI system, or has one developed, and places it on the market or puts it into service under its own name. Under Art. 3(4), a deployer uses an AI system under its own authority in a professional context.

Most companies are deployers: they use third-party tools for images, text, and video. The website chatbot is different. The Commission's guidelines treat a company that offers a system under its own name or trademark as its provider, even if it does not modify the underlying model. If your team builds a chatbot on a model provider's API and puts it on your website under your brand, the Article 50(1) duty is yours.

ScenarioRoleArticle 50 dutyApplies since
Support chatbot on your website, built in-house on a third-party model and run under your brandUsually the provider of the chatbotArt. 50(1): tell users they are talking to an AI. Art. 50(2): mark the generated textAugust 2, 2026
Off-the-shelf chatbot product from a software vendor, embedded under the vendor's nameDeployerArt. 50(1) sits with the vendor. Check that the notice is switched onAugust 2, 2026
AI-generated images in adsDeployerArt. 50(4) if the image is a deepfake, such as an embellished product photo or a realistic personAugust 2, 2026
AI-written blog post with editorial reviewDeployerArt. 50(4): no disclosure if a person reviewed the text and someone holds editorial responsibilityAugust 2, 2026
AI voice in a videoDeployerArt. 50(4) if the voice resembles a real person and sounds authenticAugust 2, 2026
Internal use only, such as an AI assistant for trained staffDeployerNo Art. 50(4) disclosure as long as nothing is published. The Art. 4 AI literacy duty still appliesAugust 2, 2026 (Art. 4 since February 2, 2025)

One company can be a provider for one system and a deployer for another. Roles attach to each use, not to the company as a whole, which is why a list of every AI application with its role pays off. Tools that teams adopt without approval are the blind spot here; we cover how to uncover shadow IT in your company separately.

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What Changes on December 2, 2026

Two deadlines expire on December 2, 2026, and neither concerns the disclosure duties of deployers. Those have applied since August.

First, the transitional period under the new Art. 111(4) ends. Providers of AI systems, including general-purpose AI systems, that generate synthetic audio, image, video, or text and were placed on the market before August 2, 2026, must mark their output in a machine-readable format from that day. Recital 38 of Regulation (EU) 2026/1744 justifies the four-month window with the effort of retrofitting existing systems. If your own chatbot or an in-house image generator was live before August 2026, check whether this deadline applies to you.

Second, the new prohibitions in Art. 5(1)(ba) and (bb) take effect: AI systems that generate child sexual abuse material or non-consensual intimate imagery of real people are banned from December 2, 2026. This mainly affects providers of image and video generators. For your company, it matters when you select tools: ask vendors which safeguards they have built in. The new ISO 27090 standard describes how to judge the security of an AI system.

How to Implement AI Labeling

Implementation needs no dedicated software, but it does need a clear owner. Five steps are enough for most companies. Our checklist for preparing your business for the EU AI Act covers the remaining preparation, from AI literacy to the high-risk deadlines.

  1. Map your AI use (compliance or IT, one to two days): List every system that generates content or talks to customers, with its purpose, vendor, and your role.
  2. Assign the duty for each system (compliance with the business owner, one day): Map each entry to Article 50(1), (2), (3), or (4), or record why no duty applies.
  3. Write an AI content policy (marketing with compliance, one day): Define when content counts as a deepfake, who reviews text editorially, and how that review is documented.
  4. Design the labels (marketing and product): The chatbot says in its first message that it is an AI. Deepfakes carry a visible notice directly on the content.
  5. Review regularly (compliance, quarterly): New tools and formats keep arriving, and the list from step 1 goes stale fast.

For the visible notice, the Commission has published EU icons that deployers may use free of charge, in several color variants as SVG and PNG files. The icons are optional. According to the Commission's page on the EU icons, they should be perceivable at the latest at first exposure, sit where no other element covers them, and stay visible when content is reshared or downloaded. Note that using the icons does not by itself establish compliance. What counts is that the notice is clear and sits where the content has its effect.

Two exemptions are worth knowing and documenting. For evidently artistic, creative, satirical, or fictional works, a notice that does not hamper the display or enjoyment of the work is enough, and the Commission interprets these categories strictly. For text, disclosure is not required if a person has reviewed the text and a natural or legal person holds editorial responsibility for its publication. A pro forma review does not qualify. Whether a corporate blog publishes text on matters of public interest at all is not settled; documented editorial review covers you either way.

An example with illustrative numbers: a 60-person SaaS company runs a support chatbot that its own team built on a large model provider's API. Marketing creates around 20 ad visuals a month with an image generator and publishes four AI-assisted blog posts. The inventory takes two days and turns up seven AI tools, two of them unapproved. For the chatbot, the company is the provider, so the greeting now reads "You are chatting with our AI assistant." Three of the 20 visuals show the product embellished and get the EU icon directly in the image. The content lead, named as editorially responsible, reviews every blog post, and each review is logged in the CMS. The total effort is about five person-days, plus an hour a month for upkeep.

Beyond labeling, a chatbot brings its own security questions, such as manipulated inputs. A separate article shows how to assess prompt injection in your ISO 27001 ISMS.

How Kertos Supports AI Labeling

Every label starts with knowing where AI is in use. In the AI Inventory of the Kertos platform, you record your AI systems in one place and link them to data sources and assets. That shows you which systems generate content, who owns them, and which Article 50 duty applies to each.

The platform's AI literacy trainings cover the Article 4 duty, with videos, quizzes, and completion tracking. Kertos's certified experts help you settle whether you act as provider or deployer for each system and set up an AI content policy. If you want AI governance that goes beyond the legal minimum, our comparison of the EU AI Act and ISO 42001 explains where the two differ.

We are happy to show you how this works in the platform in a short demo.

Frequently Asked Questions

Do I have to label AI-generated content?

Not all of it. As a deployer, you must disclose deepfakes and AI-generated text that informs the public on matters of public interest, unless a person has reviewed the text and holds editorial responsibility. If you run a chatbot under your own name, you must also tell users they are talking to an AI.

When does EU AI Act Article 50 apply?

Article 50 has applied since August 2, 2026. The Digital Omnibus did not postpone it. Only providers of generative systems that were on the market before August 2, 2026, have until December 2, 2026, to add machine-readable marking.

Do I have to label AI-generated images?

Yes, if the image is a deepfake, meaning it resembles real people, places, objects, or events and falsely appears authentic. An AI product photo that makes the product look better than it is falls into this category. An obviously fantastical visual, or a real product in front of an AI background that does not mislead, needs no label under Art. 50(4).

Does the labeling obligation apply to social media?

Yes. Article 50 does not distinguish between channels: a deepfake on LinkedIn or Instagram must be disclosed just as it would be on your website. Place the notice directly on the content so that it stays visible when shared. The platforms' own rules apply on top.

What are the penalties for violating the labeling obligation?

Under Art. 99(4), breaches of Article 50 can lead to fines of up to EUR 15 million or 3 percent of worldwide annual turnover, whichever is higher. For SMEs and small mid-caps, the lower of the two amounts applies. National market surveillance authorities enforce the rules; in Germany, that is the Federal Network Agency (Bundesnetzagentur).

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Kutluhan Abut

Kutluhan Abut

Information Security & AI Governance Specialist

Kutluhan Abut is an Information Security & GRC Specialist at Kertos, where he supports companies with ISO 27001 implementation, SOC 2 audit readiness, and AI governance topics. His work focuses on translating information security and compliance requirements into practical policies, evidence, controls, and processes that can stand up to audits and customer scrutiny. With a legal and data protection background, he brings a structured compliance perspective to information security, privacy, and emerging technology governance."

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