Dueling AIs?
Artificial Intelligence and Academic Integrity
Artificial Intelligence and Academic Integrity
Together we move beyond worry to collaboratively explore how AI can coexist with educational integrity.
This site is designed to serve two functions: first, as your interactive guide for this 50-minute session; and second, as your enduring Continuous Learning Hub, providing a toolkit to continue conversations in with your colleagues and community, where the real action happens.
For the next 50 minutes, please use the navigation bar to follow our structured approach. We will move through three collaborative, human-centered activities:
Reframing Integrity (The "Why"): A whole-group discussion to challenge our assumptions about academic integrity.
Jigsaw Analysis (The "What"): Guided exploration of research and expert perspectives on AI, learning, and cheating.
Capturing Shared Beliefs (The "How"): Using a collaborative template to sketch out our own guiding principles for AI use.
This is a library of tools and resources you can use to continue exploring and guiding this work with your colleagues.
AI Policy & Integrity Frameworks: Focus on governance with templates and models for defining clear guardrails and data standards.
Tool Customization Lab: Focus on implementation by designing and testing specialized AI agents (Gems/Copilots) to enforce policy and automate feedback.