Implement AI disclosure mechanisms
Implement clear disclosure mechanisms to inform users when they are interacting with AI systems rather than human operators
Control activities
Implementing clear AI interaction disclosure at the beginning of communications, notifying users they are interacting with artificial intelligence, not humans.
Ensuring disclosures are conspicuous and easily understood. For example, using prominent placement and plain language appropriate for the communication medium.
Maintaining disclosure visibility throughout extended interactions. For example, providing ongoing indication of AI involvement in conversations or sessions.
Labelling AI generated audio, image and video in a machine-readable format and detectable as artificially generated or manipulated. Technical solutions must be effective, interoperable, robust and reliable as far as this is technically feasible.
Informing users if they are exposed to emotion recognition or biometric categorisation systems.
Implementing adaptive disclosure methods for different interaction types. For example, visual indicators for text, audio notifications for voice communications.
Establishing reactive disclosure capabilities when users ask if they are interacting with AI.
Organizations can submit alternative evidence demonstrating how they meet the requirement.
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