Explainable AI (XAI) refers to methods and techniques that make AI systems more transparent by explaining how they arrive at predictions, recommendations, or decisions.
Enterprise Voice AI platforms use Explainable AI to improve trust, support regulatory compliance, diagnose model behavior, justify automated decisions, and help organizations understand AI-generated responses.