This course serves as an introduction to fundamental ethics concepts essential for the development of improved intelligent systems, while exploring their implications on the economy, civil society, and government. Topics include ethical data sourcing, data bias mitigation, explainability versus black-box AI, economic equity considerations, and data governance including privacy, security, and stewardship. Special focus is placed on the pivotal data and modeling choices made by developers during system creation and deployment, along with their societal ramifications.