PUBPOL 710.003

PUBPOL 710.003: Connected and Automated Vehicles: Algorithmic Discrimination

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Fall 2020
Course Section
Credit Hours

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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)