EU AI Act references, in product-friendly language.
Short summaries of the transparency provisions that inform our disclosure patterns. These are practical interpretations for product and UX work — not legal advice.
This tool provides product and UX guidance for AI disclosure patterns. It does not provide legal advice and does not determine legal compliance. Please consult qualified legal counsel for binding assessments.
Article 50(1)· EU AI Act, Article 50
Short: Providers of AI systems that interact directly with natural persons must ensure people are informed they are interacting with an AI.
Product interpretation: If a user talks to a chatbot, voicebot, or AI agent, they must be able to tell it is an AI, unless it is obvious from the context.
Article 50(2)· EU AI Act, Article 50
Short: Providers of generative AI must mark AI-generated or manipulated content in a machine-readable way.
Product interpretation: Any AI-generated image, audio, video or text output should carry a machine-readable marker such as a watermark or provenance signal.
Article 50(3)· EU AI Act, Article 50
Short: Deployers of emotion recognition or biometric categorisation systems must inform exposed persons.
Product interpretation: If a feature infers mood, emotion, or biometric categories, users must be told before or at the moment of exposure.
Article 50(4)· EU AI Act, Article 50
Short: Deepfakes and AI-generated text on matters of public interest must be disclosed.
Product interpretation: Deepfake media and AI-generated public-interest text need clear, human-readable disclosure alongside the content.
Article 50(5)· EU AI Act, Article 50
Short: Information must be clear, distinguishable, accessible and provided by first interaction or exposure.
Product interpretation: Disclosures should be present the first time a user interacts with or is exposed to the AI, and meet accessibility expectations.
Article 13· EU AI Act, Article 13
Short: High-risk AI systems must be transparent enough for deployers to interpret outputs and use them appropriately.
Product interpretation: For high-risk features, product UX should surface limits, intended use, and how to interpret outputs responsibly.
Article 86· EU AI Act, Article 86
Short: Right to explanation for individual decisions made by certain high-risk AI systems with legal or similarly significant effects.
Product interpretation: Users affected by consequential automated decisions should be able to request a clear explanation of the decision.
Code of Practice· Code of Practice on Transparency of AI-Generated Content
Short: Voluntary EU code detailing operational practices for marking and disclosing AI-generated content.
Product interpretation: Use as a reference for concrete UX patterns and machine-readable marking approaches.