AI Technology, Innovation, and Policy

3 Credits.

This course is an introduction to the tools used to create chat and analytical arti?cial intelligence (AI) applications including the ethical considerations associated with AI including bias, transparency, fairness, accuracy and the methods used to measure and assess the results produced by AI. The different forms of AI in the public sector are evaluated using the AI products currently in use at the federal, state, and local level. The application of AI for diverse policy areas including policing, disaster mitigation, and foreign policy and citizens’ responses to interactions with AI in service provision are also covered, along with current and emerging policy guidelines for public sector AI. Prerequisites: 470.681, Introduction to Data Analytics and Policy; 470.768, Programming and Data Management; 470.673, Data Visualization; 470.667, Machine Learning Methods and Applications OR 470.709, Quantitative Methods for Policy and Political Analysis (470.667 or 470.709 may be taken concurrently as a co-requisite).