Introduction
Have you ever wondered how Netflix knows exactly what movie you’ll like? Or how your phone can recognize your face to unlock? You are living in the age of "Artificial Intelligence (AI)". But is AI just a "magic box," or is it something we can understand and control?
In this lesson, you will go from being a consumer of technology to an explorer of the algorithms that power our world. You will learn how machines "learn" and investigate the ethics of giving computers the power to make decisions.
Task
Your mission is to become an "AI Consultant". You will work through a series of interactive challenges to understand how Machine Learning works. By the end of this lesson, you will:
1. Define AI and Machine Learning.
2. Train your own mini-AI model.
3. Analyze a real-world ethical dilemma involving AI.
4. Create a "Future Tech" pitch for an AI tool that solves a problem in your community.
Process
Step 1: What is AI? (The Basics)
Watch this short introductory video to understand the difference between a normal computer program and AI.
°Watch: What is Artificial Intelligence?
(https://youtu.be/ad79nYk2keg?si=bglwSKpzdJxiHTXN)
°Read: AI for Kids - A Simple Guide
(https://www.ibm.com/think/topics)
Step 2: Training the Brain (Interactive Lab)
Computers learn through data. You are going to train a computer to recognize images.
°Activity: Go to "Google’s Teachable Machine".
(https://teachablemachine.withgoogle.com/?hl=en-US)
°Action: Click "Get Started" and choose "Image Project." Use your webcam to train the computer to tell the difference between you holding a pen and you holding a phone.
°Refletion: How many photos did it take before the computer got it right?
Step 3: Game Time (AI in Action) Can an AI outsmart you? Or can you help it learn faster?
°Game: Play "Quick, Draw!"
(https://quickdraw.withgoogle.com/?hl=en-US)
°Goal: Draw objects and see if the Neural Network can guess what you are doodling. This shows how AI uses "Pattern Recognition."
Step 4: The Ethics of AI AI isn't perfect; it can have "bias" based on who builds it.
°Watch:" Algorithmic Bias Explained"
(https://youtu.be/59bMh59JQDo?si=9jBxlJKhC-CuLzN-)
°Interactive Simulation: Go to "The Moral Machine" (https://www.moralmachine.net/?hl=en-US). Click "Judge" to see the difficult decisions self-driving cars might have to make.
Evaluation
You will be graded based on your "Future Tech Pitch". Use a Google Doc or Canva to create a 1-page proposal for a new AI.
CRITERIA |
4- EMERGING TECH EXPERT |
2- TECH APPRENTICE |
1- NEEDS REBOOT |
| UNDERSTANDING |
Clearly explains how the Al learns (Data/Training).
|
Mentions Al but lacks technical detail. | Does not explain how it works. |
| PROBLEM- SOLVING |
Solves a specific, real-world community problem.
|
Solves a general problem. | No clear problem identified. |
| ETHICS |
Identifies one potential bias or risk of the tool.
|
Briefly mentions a risk. | No mention of safety or ethics. |
| CREATIVITY |
Uses visuals and a catchy name for the tool.
|
Includes a name but no visuals. | Minimal effort in presentation. |
Conclusion
Congratulations, Consultant!
You have peeked behind the curtain of the most powerful technology of the 21st century. You now know that AI isn't just robots—it’s math, data, and human decisions combined.
Final Thought: As AI becomes more common, will you be someone who just uses it, or someone who helps build it responsibly? Want to learn more? Check out Code.org's AI for Oceans to see how AI can help the environment! (https://studio.code.org/courses/oceans/units/1/lessons/1/levels/1)