Artificial Intelligence in Public Policy

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