Bite by Byte: AI and Educators Roundtable Series

A quarterly virtual forum for educators to examine how artificial intelligence is transforming teaching, learning, assessment, and educational practice.

Bite by Byte

AI & Educators Roundtable Series

Quarterly | 11 am -12 pm | Zoom

Artificial intelligence is increasingly present on campus and elsewhere, raising opportunities, questions, and challenges for educators across the campus. This quarterly roundtable series creates a shared, virtual space for medical educators to come together to discuss an AI-in-education topic.

Each session centers on a theme and is structured as an interactive discussion rather than a formal presentation. Participants can join the conversation, listen in, ask questions, and share experiences from their own teaching and educational work.

All perspectives and experience levels are welcome—AI enthusiasts, skeptics, and those simply curious or just getting started. The goal is to surface ideas and projects, work through concerns, break down silos across programs and schools, and learn from one another in a low‑stakes, collegial environment.

This is a virtual lunch and learn —bring your own lunch.

Participants are welcome to attend individual sessions or join the series throughout the year.

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Roundtable Structure


1

Introduction
Short overview of a concept, piece of scholarship, or media that informs our understanding of AI.

2

Topic Framing
A concise landscape snapshot to provide context and highlight key themes.

3

Roundtable Discussion
What are people are seeing, doing, exploring?

4

Next Steps
Identify challenges and tensions, opportunities, emerging ideas and directions.

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2026-2027 Schedule


Headshot of Zuckerman

June 18, 2026

State of AMC-AI: Experiences and Opportunities

With Matt Zuckerman | OME AI Faculty Director; Emergency Medicine, SOM

This session will map the current landscape of AI in medical education across campus, highlighting how faculty and learners are engaging with these tools in real teaching and learning contexts. Through an interactive discussion, we’ll surface common challenges, compare emerging practices, and identify opportunities for collaboration and shared problem-solving.


Pre-flections

Contemplate these questions before the session and come prepared to discuss.

  • How are you (or your learners) currently using AI in educational settings?
  • What’s working well—and what feels uncertain or challenging?
  • Where do you see opportunities for collaboration or shared approaches?

 

Session Resources 


Deborah Seymour

September 17, 2026

Supporting Learners Who Are Anxious — or Over Reliant — on AI

With Deborah Seymour | Family Medicine, SOM

Pre-flections

Contemplate these questions before the session and come prepared to discuss.

  • Where have you struggled to strike the right balance between encouraging AI use and preserving authentic learning?
  • What conversations have you had with learners about using AI responsibly?
  • What strategies have you found effective, and where are you still looking for ideas?

Session Resources 

  • Check back after the session

 


Facilitator to be announced

December 17, 2026

Equity, Bias, and Access in Educational AI

Pre-flection Questions

Contemplate these questions before the session and come prepared to discuss.

  • Where have you seen AI improve or limit access to learning?
  • What biases have you noticed in AI tools or outputs?
  • How has AI changed the way you think about equity in education?

Session Resources

  • Check back after the session

 


Facilitator to be announced

March 18, 2027

How AI is Changing What it Means to Learn Medicine

Pre-flection Questions

Contemplate these questions before the session and come prepared to discuss.

  • What can learners do with AI, and what might they learn less deeply?
  • How should AI reshape our definition of learning?
  • What should change in medical education because of AI, and what should stay the same?

Session Resources

  • Check back after the session


Resources


Campus Resources

AI at the University: University-approved tools, guidelines and best practices
Learn how to use AI effectively and responsibly with guidance on prompting, approved AI tools, practical use cases, and AI literacy resources for CU Anschutz.

Security Policies, Standards and Guidance 
Learn how to protect university data and stay compliant with CU policies through security guidelines, training requirements, HIPAA resources, and AI security guidance.

External Resources

AAMC — Artificial Intelligence and Academic Medicine
Explore national guidance, research, best practices, competencies, and professional development resources for integrating AI into medical education and academic medicine.


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