Fairness in Artificial Intelligence and Machine Learning

Catalog description

As humans have come to rely on artificial intelligence to make decisions traditionally performed by bureaucrats and institutions, it is necessary to understand the ways in which various forms of marginalization and inequality may come to be embedded in these systems. This course is an introduction to the ways in which the training data and inferences of machine learning may be unfair relative to a number of different conceptions of fairness at the mathematical, legal, and philosophical levels.