Ai Interpretability

Explainable AI: The Four Principles That Turn Black Boxes Into Accountable Systems

Explainable AI (XAI) makes complex AI systems understandable through four key principles: transparency, interpretability, justifyability, and robustness. Adhering to these principles is essential for building trust, mitigating risk, and meeting evolving regulatory compliance frameworks.