Deep learning networks, the programs behind how autonomous vehicles identify their surroundings and make decisions and course corrections, are extremely complex. In this episode of University of Michigan News's Driverless series, faculty from Michigan Engineering and Gerald R. Ford School of Public Policy discuss the logistics and ethics behind programming these networks.