Ethics in Data, Data Science, and AI for Public Policy

3.0 credits · Graduate

This graduate-level course is designed for students pursuing leadership or managerial roles in organizations across the public, private, and nonprofit sectors involved with shaping or making data science and technology. Special attention will be paid to ethical concerns associated with data science, including biases, privacy, surveillance, discrimination, transparency, accountability, and implications for artificial intelligence. This course is designed for students in the Jeb E. Brooks School of Public Policy MS in Data Science for Public Policy program. Other students may only enroll with permission of the instructor. As a graduate level course, students are expected to have thoroughly read all materials prior to class and be well-prepared to discuss readings and cases with colleagues. (MPA-DA, MPA-DATSCI, MPA-ECONPL, MPA-SCITEC, MPA-TPA)