Code of Practice on Transparency of AI-Generated Content (marcatura ed etichettatura dei contenuti generati o manipolati dall'IA)

(optional) Signatories are encouraged to ensure that documentation and other relevant information (excluding business confidential information and trade secrets) is provided to deployers and other expert users to support them in making informed decisions on what marking and associated detection solutions they may use, including helping them to understand how to access detection solutions, how to perform detections, and how to interpret detection results. In addition to deployer-focused materials, Signatories are also encouraged to ensure that end- user literacy resources are provided, as appropriate, and calibrated to laypersons and end-user needs, including where the AI systems serve populations with lower AI literacy or in sensitive contexts (e.g. educational contexts or contexts involving young or elderly users). These resources may be developed by the Signatories themselves or created jointly through efforts involving other providers or by organisations or initiatives they belong to. This measure will be implemented in a proportionate manner, taking into account the level of awareness of the deployers and other users of the generative AI system and end-users exposed to the content, and the size and resources of the AI system provider, in particular with regard to SMEs and SMCs. Signatories are encouraged to collaborate with academia, civil society, media and other relevant organisations to promote literacy and awareness regarding AI transparency, and to support EU- level initiatives to foster a consistent understanding of provenance and detection across Member States.