Course Description 

This course will be an introduction to ethical dimensions arising in the practice of statistics and data science, including in particular moral puzzles, problems and dilemmas that arise in the application of machine learning and artificial intelligence to everyday decision making in politics, business, and ordinary life. Throughout the course we will gradually develop an interdisciplinary systematic framework for thinking about such problems which draws on multiple philosophical traditions, reasoning tools, and statistical methods. We will also draw on legal theory and case law. 

Prerequisites

Some background in philosophy and statistics is recommended.