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Free AI lesson plan, lesson 2 of 10

How AI Works

Essential question

Why should students understand artificial intelligence and its ethical uses?

  • About 35 minutes
  • Short video included
  • No AI background needed
  • Free

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Lesson objectives

By the end of this lesson, students will:

  • Understand how AI converts data into tokens through tokenization
  • Determine why AI companies have the motivation to collect more data through web scraping
  • Learn how data tokens form a comprehensive response through pattern-recognition
  • Assess the societal limitations of generative AI responses based on data limitations

Key vocabulary

  • Tokenization
  • Web Scraping
  • Token
  • Outputs
  • Data
  • Inputs
  • Predictions
  • Embedding

Lesson flow

  1. Lecture8-10 minutes
  2. Whole Class Discussion5 minutes

Exit ticket questions

What students answer at the end of the lesson. Answer choices are on the worksheet, answers in the teacher guide.

  1. What is a large language model?
  2. How do AI models learn?
  3. For large language models, what is embedding?
  4. Why is AI capable of producing fake and incorrect responses?
  5. If a large language model is confident in its response, does that mean it is correct?
  6. Explain the ethical concerns of AI models being trained on human text and media? Think about human biases and opinions fed into AI training.

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