TEACHER ONLY · LESSON GUIDE
AI Ethics Council Day 6 — Tasks, Not Headlines
Run the lesson here; the student item below remains the independent and absence route.
Daily Learning Contract
Topic: AI, work, and human accountability
Objective: Students will evaluate which job tasks are appropriate for humans, AI, or a combined team and justify quality checks, accountability, and worker protections.
- §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: Casebook task map for six job tasks with human/AI assignments, quality checks, accountable people, and two justified worker or user protections.
Before class
Time: One class period
Student route: Day 6: Work in the Age of AI
Use what already exists: Casebook and selected job/task examples.
Lesson flow
- Launch: Launch with a concrete question or failure that makes ai and work 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.