Lesson 2: Like a Pro: The AI Test Lab

Step 2.11 of 6

Step 2.1 · Start here

AI chatbots can draft, explain, organize, and revise information quickly. They generate language by predicting likely words and patterns, so a response can sound polished without being accurate, complete, fair, safe, or appropriate.

In this lesson, you will use the 5-Tip Prompting Formula to guide a chatbot. Then you will use the 3-Step Process to check the full result. You will decide why AI is being used, who may be affected, what proof and safety steps are needed, and whether to use, revise, or reject the result.

💡 Big Question and Core Rule

Main Rule: A better may improve an AI answer. But a person must still check the answer and take responsibility before using it.

🧠 Memory Phrase: . Check. Improve. Own.

🛡️ Use the Responsible AI Routine

⚠️ Privacy Reminder: Use only made-up or approved information. Do not put real private information into an AI tool that has not been approved. This includes names or records about patients, students, customers, workers, applicants, victims, suspects, accounts, security, or employers.

When to use this routine

Use it before AI supports a school, workplace, or personal task, especially when information, safety, fairness, or other people may be affected.

Your next move

Study the five steps in the image. Choose one step you think is easiest to forget and explain why it matters.

🎯 Learning Goals

By the end of this lesson, students can:

  • Explain how an generates language and identify one important limitation.
  • Use relevant parts of the 5-Tip Prompting Formula to reduce unnecessary assumptions.
  • Evaluate the purpose and for using an in a workplace task.
  • Check an important claim. Look for bias, missing views, access problems, privacy or safety risks, and other harm.
  • Explain who may benefit and who may be affected by the proposed use.
  • Recommend an improvement, , human decision point, and Use, Revise, or Reject decision.
✅ You will show success by: explaining how the chatbot produces language, creating a task-appropriate , evaluating why AI is being used and who may be affected, verifying an important claim, identifying a model limitation and possible harm, and defending an improvement, , and final Use, Revise, or Reject decision.

⏱️ Pacing at a Glance

Lesson 2 required activities and estimated time
Lesson Step Time
2.2 Connect & Learn: How AI Chatbots Create Responses 9 minutes
2.3 Learn: Write Stronger AI Prompts 7 minutes
2.4 Learn: Check and Improve AI Responses 6 minutes
2.5 Apply Your Learning: AI Editor Challenge — , Test, and Decide 14 minutes
2.6 Show What You Know: Prompting and Response Evaluation 14 minutes
Total 50 minutes

📚 Key Words to Know

AI Chatbots & Prompting
: A computer program that reads everyday-language prompts and creates responses in everyday language.
: An AI model trained on large amounts of language data. It predicts likely words to create text.
: The goal, context, information, limits, and instructions a person gives an AI system.
: The content an AI system produces in response to an input or .
Evaluation & Safeguards
: The reason an organization or person wants to use AI and the benefit they expect.
: People or groups who may benefit, rely on the result, be left out, or be harmed by a process that uses AI.
: An AI response that sounds confident but includes made-up, wrong, or unsupported information.
: A step-by-step review of an AI-supported solution. It checks the purpose, evidence, limits, , benefits, harms, safety steps, and final use.
: A rule, check, limit, approval step, or other protection used to reduce risk.
Source Foundation

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