Explainable AI (XAI) refers to methods that help people understand how an AI system reaches its decisions or predictions. It increases transparency without requiring users to understand the underlying algorithms.
Enterprise Voice AI applications use Explainable AI to support compliance, auditing, and customer trust. Transparent decision making is particularly important in healthcare, finance, insurance, and regulated industries.