It’s a pivotal time for artificial intelligence in higher education. More instructors are experimenting with adaptive-learning systems in their classrooms. College advising systems are trying to use predictive analytics to increase student retention. And the infusion of algorithms is leading to questions—ethical questions and practical questions and philosophical questions—about how far higher education should go in bringing in artificial intelligence, and who decides what the algorithms should look like. To explore the issue, EdSurge invited a panel of experts to discuss their vision of the promises and perils of AI in education. The segment includes two guests with different perspectives: Candace Thille, an assistant professor of education at Stanford Graduate School of Education, and Mark Milliron, co-founder and chief learning officer at Civitas Learning.