Artificial Intelligence in Public Policy

MIA and MPA Policy Skills II Core. Pre-req: Computing in Context (DSPC IA6000). This course introduces students to the fundamentals of Artificial Intelligence (AI), its applications in public policy, and its implications for the future of governance. Students will gain a foundational understanding of AI, including the mathematical and programming principles behind common machine learning algorithms used for prediction, classification, and clustering. The course explores the practical applications of AI across various sectors, including business, non-profits, and government, highlighting its transformative potential. In the final segment, students will apply their knowledge to design AI solutions for public policy challenges. Through a "Concept to Implementation" process, student groups will identify problems, navigate data and algorithmic considerations, and propose actionable AI-driven solutions.