Break open the black box on AI, understand why today’s AI explanations fail in production, and learn what it takes to achieve both performance and trust.

Establish a measurable standard for explainability using concrete evaluation criteria such as faithfulness and consistency.

Operationalize contestability and oversight with a structured framework that makes AI auditable and ready for long-term success.