Keynote & AI Panel | DL Conference 2026

Opening Keynote

"Teaching in an AI World and Beyond:
Responsible, Realistic, and
Human-Centered Use of AI in Higher Education"
Chris N. Cheetham-West
8:30 AM EST - 10:00 AM EST

Artificial Intelligence is increasingly present in teaching, learning, and institutional work, leaving many educators unsure how to respond. Faculty and staff are navigating questions around student use of AI, academic integrity, and how to prepare learners for a workforce where these tools already exist— without feeling pressured to become AI experts or to take a strong stance for or against AI.

This keynote focuses on awareness, understanding, and responsible use of AI in higher education. Rather than promoting tools or technical skills, the session helps educators develop a practical framework for talking about AI with students, setting appropriate boundaries, and using AI thoughtfully as a support tool while maintaining human judgment, ethics, and institutional trust.

Ai Panel

Closing AI Panel

Teaching in an AI World:
What’s Changing, What Isn’t, and Why It Matters
3:30 PM EST - 4:30 PM EST

Recording

As artificial intelligence continues to influence education and the workforce, understanding what is truly changing—and what is not—has never been more important. This engaging panel discussion brings together perspectives from higher education, instructional support, and industry to explore how AI is reshaping teaching, learning, academic integrity, and career readiness.

Grounded in the idea that while technology evolves, strong teaching practices remain essential, this session is designed to help educators navigate AI with awareness, balance, and purpose — preparing students for an evolving workforce without losing the human foundations of learning. Rather than promoting fear or prescribing one-size-fits-all solutions, the discussion encourages participants to think critically and realistically about the skills students need for the workforce, the responsibilities educators have in preparing them, the ethical considerations surrounding AI, and why faculty choice still matters in determining how AI fits into teaching and learning.