Transparency & Communication

The organisation shall ensure AI systems are designed and operated with appropriate transparency, enabling users and affected individuals to understand when they are interacting with AI, how the AI system impacts them, and what the system's capabilities and limitations are. This includes clear marking of AI-generated content, disclosure of automated decision-making, and provision of comprehensive documentation about system performance and intended use. For general-purpose AI (GPAI) models, specific transparency measures shall include labeling of generated outputs and disclosure of model capabilities to stakeholders. The organisation must maintain accessibility standards in all transparency communications, provide explanations of AI-driven decisions when required by law, and ensure instructions and documentation are clear and accessible to intended audiences.

The organisation shall implement comprehensive stakeholder engagement processes to collect, evaluate, and respond to feedback about AI system impacts and performance. This includes establishing mechanisms for regular stakeholder consultation, incorporating feedback into system improvements, and maintaining documentation of stakeholder engagement activities. The organisation must consider diverse perspectives, ensure feedback processes are accessible to all affected communities, and demonstrate how stakeholder input influences system development and operation. Regular reporting to stakeholders about system performance, impacts, and improvements must be maintained.