A growing body of research has shown that AI can play a critical role in helping institutions tackle pernicious challenges -- from "summer melt" to student retention, academic success, and well-being. That's more important than ever at a time when colleges and universities are grappling with shifting demographics, declining enrollment, and the need to not just respond to, but also anticipate, the needs of an increasingly diverse student population. But the landscape of AI is also changing fast. ChatGPT and other generative AI tools are quickly growing in popularity, reshaping conversations around instruction and academic integrity, and accelerating shifts in the world of work that awaits students after they graduate. Against that backdrop, it's more important than ever for university leaders to understand the principles that underpin artificial intelligence -- so they can better design a student experience that both responds to and anticipates the needs of an ever-changing world. In short, college and university leaders are facing growing pressure to get smart on artificial intelligence. And that starts with a basic understanding of what AI actually is, and how it works. Here's a glossary of key AI terms designed to help higher education decision-makers navigate the landscape. [This glossary was created with Mainstay.]