Artificial Intelligence in Public Policy

Pre-reqs: INAF U6004 or INAF U6006. This course is meant for students who want to learn the basics of Artificial Intelligence (AI), how AI is applied to public policy, and the implications of AI in the future of governance. Students can expect to learn the foundations of AI. We will go through the mathematical and programming background of how the most common Machine Learning (ML) algorithms work, specifically focused on predicting scores, classes, and clusters from data. Applications of AI. Understanding the basics of ML algorithms, we will examine how AI is applied for various functions across businesses, non-profits, and governments. Building AI Solutions At the end of the course, we will spend time making an AI solution that has significant value from a public policy perspective. We will go through an exercise on thinking of a problem from an AI perspective and considering data and algorithm challenges when building AI solutions. As student groups, you will be asked to go through the “Concept to Implementation” process and propose an AI solution for a given problem that the student is keenly interested in.