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Introducing and exploring the basics of artificial intelligence, definition, and how computers learn from data to make decisions, bias, and tools.
Mini Lesson:
What is AI, in simple terms? AI is when computers or machines are designed to do tasks that normally require human thinking, like recognizing faces, suggesting music, predicting what you will type, or answering questions.
o How to teach: Ask student to list devices or apps they think use AI. Show examples: TikTok recommendations, Google Maps routes, or game NPCs.
How machines “learn” from data. Data is information. AI uses data to learn patterns. Data can be numbers, pictures, words, clicks, videos–anything a computer can process.
o How to teach: Have student sort items (colors, photos objects) to show how AI groups information. Explain that AI learns by looking at many examples.
What is Bias in AI? Bias happens when AI makes unfair or inaccurate decisions because the data it learned from was incomplete, unbalanced, or one-sided.
o How to teach: Use examples from games or social media where recommendations feel “off.” Ask: “Who might be left out of this technology?”
What are AI tools? AI tools are apps or programs that use artificial intelligence to help users create, learn, or solve problems. Examples: Chatbots, image generators, music or beat-making AI, language translation tools.
o How to teach: Let student test a tool, guess how it works, then connect it to the definitions above.
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