Understanding whether content was created by a human or a machine has become a critical capability for platforms, publishers, and institutions. Advances in detection technology confront rapidly evolving generative models, raising questions about accuracy, ethics, and operational deployment. This article explores the technical foundations, the role of detection in content moderation, and practical case studies