EU’s Transparency Code of Practice: Watermark To Warning Label

This infographic provides:

  • A visual breakdown of AI Act Article 50 transparency obligations for both deployers and providers;
  • Clear insights into who must mark, detect, label, and disclose AI-generated content under the EU AI Act;
  • An end-to-end view of how organizations can support transparency for AI-generated and AI-manipulated content.

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As AI-generated content becomes increasingly prevalent both online and offline, organizations are under unprecedented pressure to implement appropriate transparency measures. The latest Code of Practice under Article 50 of the AI Act aims to achieve that exact goal by introducing specific obligations for both deployers and providers of GenAI systems.

Securiti’s latest infographic delves deeper into the critical differences between the two roles, the exact measures they must undertake, and the steps necessary to comply with the Article 50 transparency requirements.

EU’s Transparency Code of Practice: Watermark To Warning Label

Frequently Asked Questions Related to the AI Act’s Article 50

Some of the most commonly asked questions related to the AI Act’s Article 50 are as follows:

Article 50 is applicable to both providers and deployers of certain AI systems. However, the exact obligations differ. Providers must ensure all AI-generated or manipulated content is appropriately marked and detectable. Deployers must disclose the artificial origin of some content produced by their models, such as deepfakes and AI-generated text, on matters of public interest.

AI content marking and AI content labeling serve different transparency purposes. Marking is the provider’s responsibility and requires embedding machine-readable transparency measures into AI-generated content. Labeling is the deployers’ responsibility and involves providing a clear, easy-to-understand disclosure that informs individuals when content has been artificially generated or manipulated.

Yes, there are several exemptions based on the type of content and context in which AI is used. For example, disclosure obligations for deepfakes may be limited when the content forms part of a creative and artistic work. Similarly, some transparency requirements do not apply when AI systems are used for law enforcement activities.

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