Verify, then share
This unit invites you to make that reasoning visible. Sharing how you arrived at a decision—not just what the decision was—helps build the shared norms that make responsible AI use a school-wide habit rather than an individual preference.
Use these four prompts to reflect on your practice experience before deciding how and where to share your work.
- What task did you consider using AI for, and what decision did you make?
- Which boundary or consideration most influenced your decision, and why?
- How did privacy, access, or equity factor into your reasoning?
- How would you explain this decision to someone else as a model of responsible AI use?
Role-base reflection questions
Choose the pathway that reflects your professional roles as you work through this unit.
For teachers
Think about the decision you made—whether to use AI, use it with limits, or not use it—and what that decision protects for your students.
- If a student or parent asked you directly whether AI was involved in creating any part of your lesson or materials today, what would you say, and how confident are you in that answer?
- What is one AI use habit that you'll apply every time from now on, even under time pressure—and what makes that habit worth protecting?
For coaches
Think about the decision you made and how you would walk a teacher through the same four-question framework you just used.
- What is the most important question in the four-question decision framework for the teachers you coach—and what makes that question the one most people skip under time pressure?
- How would you introduce the "Use / Use with limits / Don't use" framework to a teacher without making it feel like a bureaucratic checklist?
For administrators
Think about the decision you made and what it would look like if every staff member in your building applied the same four questions before using AI.
- What is the biggest structural barrier that prevents staff from applying privacy, verification, attribution, and equity considerations before using AI—and what would it take to remove that barrier?
- What is one expectation you would make explicit in your school's AI use norms based on what you practiced today, and how would you communicate it so it lands as support rather than compliance?
Why reflection and sharing matter
A responsible decision you make privately protects the people in your immediate context. A responsible decision you make visible can shift how an entire team thinks about the same kind of choice.
Most schools are still working out what responsible AI use looks like in everyday practice, and the norms that stick are the ones built from real decisions made by real educators—not the ones written in a policy that no one reads after the first week. When you share your reasoning clearly, you give colleagues something concrete to agree with, push back on, and build from.
Share with a colleague
Explain your decision and the reasoning behind it to a colleague. Tell them which boundary or consideration mattered most and why. Ask them to name one additional consideration they would apply, or one place where they might decide differently. You don't need to agree. The most useful conversations are often the ones where two people made different defensible decisions and can explain why.
Share on a professional or social platform
Post a short reflection on one of the four prompts. Focus on the reasoning process rather than the outcome. A specific, honest description of which question made you pause—and what you decided to do about it—is far more useful to other educators than a general statement about AI responsibility. ISTE Connect, LinkedIn, Bluesky, and X are all places where this kind of practical, decision-level conversation is happening in real time.