Data Science Ethics

Catalog description

This course investigates the ethics and justice of contemporary data science. Case studies are examined to determine whether data science models and their applications are ethical and just and it considers at least one new modeling strategy for ensuring that they are. This course will review several professional codes of ethics to see how ethical considerations are codified by professional organizations. It will then look at how these ethical considerations can be used to implement responsible data science throughout planning, data collection, analysis, and implementation of data science projects adding a level of "auditing" data science projects for ethical and socially just implementation. This course should be of interest to data scientists, statisticians, software engineers, managers, and all persons who are committed to responsible citizenship. Components: Class Prereqs/Coreqs: P or C: DATASCI 2010 ; P: STAT 3130 or MATH 4050 with a 'C-' or higher or consent of instructor Typically Offered: Spring