Please visit https://problemsolving.law.umich.edu/ for information on how to register.
Human drivers make conscious and unconscious choices that have invidious discriminatory implications, from which neighborhoods to drive through or avoid, to how to interact with other drivers based on perceived demographic features. Robotic driving may eliminate some social biases but create many others through machine learning. In this class, multi-disciplinary student teams will apply problem solving tools, learn from experts, and explore potential rules, metrics, tests, and safe harbors that could address algorithmic discrimination. Applying tools and insights they learn throughout the term, students will craft innovative solutions informed by law, policy, engineering, information, and other disciplines.
Instructor: Dan Crane (Law)