Transparency

Transparency in AI involves making information about AI systems, their development, deployment, and operation openly available and understandable. This includes documentation of training data sources, model architectures, performance metrics, and limitations. It also encompasses clear communication about AI capabilities and limitations to stakeholders.

Government AI systems providing public documentation, commercial AI products clearly stating capabilities and limitations, AI-driven content moderation explaining removal decisions