Random Audits to Deter Cheating

The growing capabilities of generative AI platforms have made it increasingly difficult for faculty to reliably distinguish between student work and AI-generated output. In this episode, David Wiley joins us to discuss the possibility of using random audits to promote academic integrity in a scalable manner. David has an extensive record as an innovator, entrepreneur, and leader in open educational materials beginning with the Open Content Project in 1998, continuing with his work as Director of Educational Licenses for Creative Commons, a co-founder of several education-related organizations, including Lumen Learning, where he also served as the Chief Academic Officer from 2012 to 2025. He is the recipient of numerous awards, including an NSF Career grant. David is currently an Associate Professor at Marshall University where he teaches courses in Entrepreneurship and Management Information Systems. Much of his recent work has been on the intersection of generative AI, open education, entrepreneurship, instructional design, and student success. A transcript of this episode and show notes may be found at

You can listen to Random Audits to Deter Cheating online on Radio and Podcast. Open the player on this page to stream the available audio.

Random Audits to Deter Cheating is an episode from Tea for Teaching by John Kane and Rebecca Mushtare.

This episode is 38:20 long.

This episode was published on May 6, 2026.

Yes. Use the heart button on the episode page to add it to your favorite episodes list.

Yes. This page shows related episodes from Tea for Teaching when more episodes are available from the podcast feed.