Companies need to understand what it means for AI to be “explainable” and when it’s important to be able to explain how an AI produced its outputs. In general, companies need explainability in AI when: 1) regulation requires it, 2) it’s important for understanding how to use the tool, 3) it could improve the system, and 4) it can help determine fairness.