This document discusses explainable and ethical artificial intelligence. It addresses the challenge of parcel cancellations and why deep learning is not always the best approach. It introduces explainable AI (XAI) and discusses its importance. Ethical AI concerns are examined through several examples. The synergy between XAI and ethics is covered. Demands and challenges for developing fair, transparent and accountable AI systems are explored. A case study on best practices for developing ethical AI models is provided. The presentation concludes with a call to build AI that is insightful and acts with integrity.