Strategies for Building Trust in the Age of AI

In the age of AI, trust may be one of the most important tools we have for protecting meaningful learning.

As generative AI becomes more common in higher education, many faculty are facing a difficult question: How do you maintain academic integrity without creating a classroom culture built on suspicion? In this 20-Minute Mentor, Carter Moulton reframes the AI conversation around something more foundational. Rather than starting with detection or enforcement, he asks instructors to consider the learning environment itself and the role trust plays within it. 

Trust shapes how willing students are to participate, ask for help, take intellectual risks, and admit when they do not understand something. It also influences whether students feel comfortable being honest about how they are using AI in their coursework. Moulton explores how instructors can strengthen that trust through clearer communication and more intentional course design. When students understand why an assignment matters, how it connects to their learning, and what is expected of them, they are more likely to see themselves as active participants in the learning process. 

This program also considers how instructors can talk about AI in ways that invite transparency instead of avoidance. By acknowledging the uncertainty surrounding AI and modeling thoughtful use, faculty can create space for more productive conversations about what responsible use looks like. Rather than treating trust as an extra layer of good teaching, this program positions it as a core condition for deep learning. It is part of what helps students feel that their work matters and that their classroom is a place where growth is possible.

You’ll leave with practical strategies for building the kind of trust that keeps students engaged, accountable, and invested in learning, even as AI continues to reshape the classroom.