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Article 50 transparency obligations now apply

From 2 August 2026 the EU AI Act's transparency duties apply: people must be told when they are interacting with an AI system, synthetic audio, image, video and text must be machine-readable as artificially generated, those exposed to emotion-recognition or biometric categorisation must be informed, and deepfakes and AI-generated text on matters of public interest must be labelled. Penalties reach EUR 15 million or 3% of global turnover. One grace period remains open.

Article 50 of the EU AI Act applied from 2 August 2026. It was untouched by the Digital Omnibus, which deferred the high-risk obligations but left transparency on its original schedule.

The four duties

  1. Disclosure of AI interaction. Providers must ensure people are told they are dealing with an AI system, unless it is obvious.
  2. Marking of synthetic content. Providers must mark AI-generated audio, image, video and text in a machine-readable format, detectable as artificially generated or manipulated.
  3. Emotion recognition and biometric categorisation. Deployers must inform people exposed to these systems.
  4. Deepfakes and public-interest text. Deployers must clearly label deepfakes, and AI-generated text published to inform the public on matters of public interest.

Exemptions worth knowing

Standard editing assistance, machine-to-machine communication, closed industrial and development environments, and artistic or satirical works (limited disclosure only). Text that has undergone human editorial review and control is also carved out — a carve-out that rewards exactly the arrangement we certify.

Still open

The machine-readable marking requirement carries a grace period to 2 December 2026 for systems already on the market. That is the nearest live deadline in the Act.

Enforcement sits with national market surveillance authorities, with penalties up to EUR 15 million or 3% of worldwide annual turnover.

Certifying the human behind the algorithm

AIC certifies that a named human remains accountable for the automated decisions that matter, and publishes the result so anyone can check it.

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