Data Science Ethics and Policy

Catalog description

Data science tools are not morally neutral. This course is designed to help students think explicitly about their social responsibility as data scientists and the impact on the world of what they are building and analyzing. Using contemporary case studies from recent news stories and legal cases, students will learn about issues such as intellectual copyright, consent, data security, differences between privacy and confidentiality, difficulties of anonymization, and bias in artificial intelligence. Open only to Interdisciplinary Data Science students.