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

Signatories will support the effective implementation of the design and placement specifications through internal review and external feedback. Signatories are encouraged to provide channels that allow individuals or third parties (e.g., trusted flaggers, independent researchers, academics, fact-checkers) to flag missing or incorrect disclosures, where appropriate through existing reporting mechanisms (e.g., trusted flagger mechanisms, interfaces for third-party fact-checking services or notice and action mechanisms). Signatories will review cases that have been reported in a substantiated manner as mislabelled or incorrectly labelled and take measures to remedy cases of non-compliance with Article 50(4)

and (5) without undue delay. Signatories will cooperate with competent authorities in accordance with applicable Union and national laws (e.g., national market surveillance authorities).