Classwork 3

Co-Intelligence Rule Practice

Author

Byeong-Hak Choe

Published

September 15, 2025

Modified

September 15, 2025

Rule 1: Always Invite AI to the Table

Ask an AI tool to generate three possible titles for a student newsletter about “AI and College Life” (covering study tips, career opportunities, and ethical concerns).

As a group, compare the three titles and choose the best.

Discussion Questions:
1. Which title is the most engaging and memorable?
2. Which one best captures the range of topics?
3. How would you combine or tweak the titles to make an even better one?



Rule 2: Be the Human in the Loop (HITL)

Consider this fabricated AI claim:

“AI-generated code is always more efficient and less buggy than code written by humans.”

Task: Work in pairs or groups to identify what’s misleading or incorrect about this claim.

Discussion Questions:
1. What makes this statement inaccurate or overstated?
2. How could relying on AI code without oversight create real risks?
3. What steps (fact-checking, testing, cross-checking) should you take before trusting AI outputs?



Rule 3: Treat AI Like a Person (but Remember It Isn’t)

Use the persona-prompt template below:

You are a [role] helping [audience].
Constraints: [tone, length, format].
Task: [deliverable].
Criteria: [rubric].

Rewrite this prompt to make it more specific and effective for a sample task (e.g., “Describe climate change”).

  1. Define the role (e.g., teacher, journalist, scientist).
  2. Clarify the audience (e.g., middle school students, undergraduate students, policymakers).
  3. Add useful constraints (tone, word limit, style).
  4. Refine the task and criteria so the output is clear and useful.



Rule 4: Assume This Is the Worst AI You’ll Ever Use

AI tools are improving at a rapid pace. Imagine that today’s systems are the least powerful you’ll ever work with.

👉 If that’s true, what skills should you focus on developing now so you can stay valuable and adaptable as AI keeps getting better?

Discussion Questions:
1. Which skills do humans bring that AI can’t easily replace?
2. How can you prepare for a world where AI does many technical tasks better than people?
3. In what ways can you treat today’s AI as a “prototype” to practice for tomorrow’s tools?

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