AI Transparency Requirements are mandates that require organizations to provide clear, meaningful information about their AI systems to foster trust and accountability. These requirements generally include:

• Disclosure: Informing users when they are interacting with an AI.

• Explainability (XAI): Providing a comprehensible rationale for the AI's output or decision.

• Documentation: Maintaining detailed records of the model's training data, capabilities, limitations, and performance.