A practical framework for building ethical AI systems. Covers the key ethical concerns: bias and fairness, transparency and explainability, privacy, accountability, and safety. Proposes a three-step approach: identify ethical risks early, create diverse oversight committees, and implement technical guardrails. Increasingly part of computer science and business school curricula.