AI can feel magical, but when decisions affect health, justice, or safety, we need more than magic—we need explanations. Paul Larsen breaks down what “explainable AI” really means, why different stakeholders need different kinds of “why,” and how this series demystifies the promises, limits, and regulations of AI explainability.