Data science tools are not morally neutral. Almost all the tools we create in data science influence society in a meaningful way, and almost all the data models we implement make assumptions about society that may or may not represent reality.
This course is designed to help students think explicitly about the larger questions of what it is they're building and analyzing and teach them how to identify and predict the impact of their work on the greater world.
Using contemporary case studies from recent issues in the news or legal system, students will learn about issues such as intellectual copyright, consent, data security, differences between privacy vs. confidentiality, the difficulties of anonymization, and bias in AI.
The goal of this course is for students to emerge with an appreciation of their social responsibility, and the skills to apply this responsibility to the innovative projects they will be completing throughout their careers.