AI Act Article 50: what you must disclose about AI-generated content, and when

Article 50 of the EU AI Act is a workflow classification problem before it is a communications problem. Organizations need to know whether they are acting as provider or deployer, whether the output is synthetic media, a deepfake or public-interest text, whether a human has materially reviewed it, and what evidence shows that a disclosure decision was made before publication.

This Quentir brief explains how AI-generated content disclosure should be operationalized without turning every AI-assisted draft into panic. It focuses on provider versus deployer responsibilities, machine-readable marking, human editorial responsibility, deepfake disclosure, public-interest text and the evidence trail that legal, communications and product teams should keep. The board-level issue is not blanket labeling. It is whether the organization can classify use cases, document decisions, train teams, test tooling and show why a particular disclosure was made or not made. The article also connects the rule to practical artifacts: a content inventory, model/system register, reviewer log, disclosure decision record, marking standard, exception register and periodic review. Use it as a starting point for Article 50 readiness and AI-content governance.