How do we reconcile the possibilities of modern machine learning with ethical and moral demands of fairness, accountability and transparency? This course will take a case study-based approach to the challenges at the interface of algorithms and human values. By exploring existing debates on algorithmic bias, explainable AI and data ownership, students will be exposed to the relevance of ethical systems of thought to modern social questions.