TEACHER ONLY · LESSON GUIDE
AI Ethics Council Day 9 — Turn Values into Testable Rules
Run the lesson here; the student item below remains the independent and absence route.
Daily Learning Contract
Topic: Testable and enforceable AI policy
Objective: Students will analyze the difference between vague values and enforceable policy by specifying the responsible actor, required action, evidence connection, and compliance check.
- §126.19(c)(12)(A) — integrate use of appropriate technology terminology in scholarly inquiry and dialogue such as classroom discussion and written samples;
Demonstration of learning: A five-principle group code in which every rule names an actor, action, evidence connection, and method for checking compliance.
Before class
Time: One class period
Student route: Day 9: Write the AI Code
Use what already exists: Casebook and prior hearing evidence.
Lesson flow
- Launch: Launch with a concrete question or failure that makes enforceable policy matter.
- Model: Model one current example or tool move before students begin.
- Do: Guide the first decision together, then release students to the existing Canvas task.
- Check + support: Check for the named evidence, not completion alone; keep a visual sequence, sentence stems, and purposeful partner roles available.
- Close + handoff: Collect or verify the evidence and name the next lesson's connection.
Check before students leave
Ask students to point to the specific evidence above and explain one choice, test, or revision. Completion alone is not evidence of understanding.
Support + troubleshooting
Scaffold: Keep the visual task sequence visible, assign purposeful partner roles, and use the sentence stems on the student page before simplifying the task.
When students get stuck: Ask for the exact step where the tool, code, or task stopped. Check setup, inputs, and saved work before replacing the task or lowering the thinking.