Article 50: chatbots, deepfakes and the duty to make AI recognisable
The transparency obligations of Article 50 touch nearly everyone deploying AI towards the public: chatbots disclose that they are AI, synthetic content is marked machine-readably, deepfakes are labelled. The accompanying marking code of practice was published in final form on 10 June 2026.
Between the prohibitions (already applicable) and the high-risk regime (expected late 2027) sits Article 50: the transparency layer that touches nearly every organisation deploying AI towards the public. Under the Digital Omnibus agreement of 7 May 2026 this layer becomes applicable on 2 December 2026 โ formally, until publication in the Official Journal, the date still reads 2 August 2026 โ and the accompanying marking code of practice was published in final form on 10 June 2026.
The four transparency obligations
- Disclosing interaction with AI: whoever offers an AI system that
communicates directly with people โ chatbots, voice assistants โ ensures the user knows, or can reasonably know, that they are dealing with AI.
- Machine-readable marking of synthetic content: providers of
generative systems ensure that output (audio, image, video, text) is detectable as artificially generated or manipulated in a machine-readable format โ robust, interoperable and technically feasible.
- Labelling deepfakes: deployers who generate or manipulate image,
audio or video content that appears authentic disclose that the content is artificial, with a limited exception for evidently artistic and satirical expression.
- AI text with a public function: text published to inform the public
on matters of public interest is disclosed as AI-generated, unless there is human editorial control and responsibility.
In addition, deployers of emotion recognition and biometric categorisation systems inform the persons concerned โ to the extent such systems do not already fall under the Article 5 prohibitions.
The marking code of practice
What "machine-readable marking" looks like technically is being worked out in a code of practice on marking and labelling AI content, steered by the AI Office. The first draft appeared on 17 December 2025; finalisation is expected in June 2026. For providers, this code will be what the GPAI Code is for model builders: not law, but the accepted route to demonstrate compliance โ with watermarking, metadata and provenance techniques as the building blocks.
What this means in practice
Article 50 is deliberately light: no conformity assessment, no registration โ but visibility. The practical preparation is manageable: make sure every customer-facing chatbot identifies itself as AI; check whether your generative tools support marking and metadata (and switch them on); establish a labelling rule for realistic synthetic image and audio; and document editorial control for AI-assisted publications. Organisations that arrange this now are ready whether the date stays 2 August or becomes 2 December.
Sources
- https://eur-lex.europa.eu/eli/reg/2024/1689/oj
Regulation (EU) 2024/1689, Article 50 (transparency obligations for certain AI systems). - https://artificialintelligenceact.eu/article/50/
Article 50 in the unofficial rendering by the Future of Life Institute. - https://www.aiactblog.nl/en/digital-omnibus
Status of the Digital Omnibus agreement, which is expected to set Article 50's date of application at 2 December 2026. - https://digital-strategy.ec.europa.eu/en/policies/code-practice-ai-generated-content
Commission page with the final marking code of practice (10 June 2026).
Read next
Final Code of Practice on marking AI-generated content published
On 10 June 2026 the European Commission published the final Code of Practice on marking and labelling AI-generated content โ the practical instrument under the Article 50 transparency duty, which formally applies from 2 August 2026.
India's binding rules for synthetic content โ a transparency regime without an AI law
On 10 February 2026 India notified G.S.R. 120(E), amending its IT intermediary rules to create a binding regime for 'synthetically generated information'. Without an AI law, India now mandates labelling, embedded provenance metadata and platform verification via intermediary liability.
AI, disinformation and elections: deepfakes and the DSA
AI disinformation around elections is caught by several regimes at once: the AI Act's transparency duty for deepfakes, the DSA's risk obligations for large platforms, and existing law. No regime bans disinformation as such.