The AI Balancing Act: How to Protect Rigor While Leading Campus-Wide Change
Date: Wednesday, November 4, 2026
Time: 2pm ET | 11am PT
Cost: Complimentary
Sponsored by:
One of higher education's biggest concerns about AI is already becoming a reality: students are using it without permission, and that use is going undetected.
73% of faculty say they've personally dealt with academic integrity issues involving AI¹. In one recent graduating class, a third admitted to using AI without the instructor's permission, and 93% said it went undiscovered².
For institutions, this raises an urgent question about academic integrity: How can they verify what students have actually learned?
In this 30-minute Ed Talk, Dr. Michelle Singh, former Assistant Commissioner for DigitalLearning and chief AI officer at the Texas Higher Education Coordinating Board, shares the framework she developed with institutions across Texas and is now using to guide AI adoption at the University of North Texas. Building on that institutional framework, Honorlock's Dr. John Floyd explains how institutions are maintaining the credibility of assessment as AI rapidly evolves.
Bonus: Attendees who join the live event will be able to participate in a ThoughtExchange workshop to share and rank best practices from their peers.
Key Takeaways:
- How to build on academic integrity-centric initiatives that already exist across your campus and peer institutions instead of starting from scratch
- Create AI adoption strategies that adapt to evolving AI tools and include faculty, staff, and students
Set clear expectations for AI use so assessments still reflects real learning.
1Survey from the American Association of Colleges and Universities
2Survey by The Harvard Crimson
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Can't attend live? Register and view the webinar on demand.