Black Box Testing evaluates an AI system by examining its inputs and outputs without considering its internal implementation. It focuses on observable behavior and expected results.
Voice AI teams use black box testing to evaluate conversation quality, speech recognition accuracy, and response reliability from an end-user perspective before deployment.