This is a course in development. Here is a webinar about it: https://www.youtube.com/watch?v=7vsoZLOtSdY&t=773s. Our next step is to prepare a "Teacher's Companion" set of slides so that anybody could teach it, to any audience.

1. AI for Kids Intro
Let us do AI!
AI for Kids
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2. About This Class
 An AI for Kids , to be taught in school or learned on your
own
 Goals
– Fun
– More fun
– Some real knowledge
 To
– Arielle, Jeremiah
– And many others who inspired us
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3. Prerequisites and Expectations
 No knowledge is assumed
 Learning will be computer-based
– We will need Internet
– We will be creating accounts on sites like Google and Qwiklabs
– No credit card will be required
 Curiosity!
– Ask a lot of questions
 This is a AI class
– No previous knowledge is assumed (but may be helpful)
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4. AI for Kids Intro
Let us do AI!
AI for Kids Intro
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5. AI for Kids
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6. If All Kids Learn about AI
 They will
– Build robots
– Fly drones
– Understand books (or letting robots do it)
– What else can you think of?
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7. Kids Who Do AI Become Popular
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8. Teaching Assumptions
 2-3 hours
 15-30 students
 Internet available (at least for the first runs)
 Ages 9-15
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9. Finland
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10. Invented a Computer
 Really, Linux, an operating system
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11. Invented Linux Thorvalds
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12. Invented Chat
 In 1998, before most of the kids here were born
 Also, invented the first Internet browser
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13. Invented Angry Birds
 For that company, it was game number 50!
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14. Finland AI
 Obsessed with texting
– Finnish PM ditches his GF with a text
– "That's it!"
 Population 5.8 million
 Taught 1% of its population AI a year ago
 Makes its course open and in 24 languages
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15. AI for Kids Intro
Let us do AI!
Let us do AI!
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16. Let's Draw
 Quick Draw works
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17. Google Stores All Sketches
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18. Many Pictures of an Angel?
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19. Why is Data Important?
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20. How Does QuickDraw Work?
 Quick Draw selects a shape out of all that it knows
 Asks a person to draw exactly that shapes
 Invokes a software that can recognize this or close shapes
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21. Some Terms: Supervised Learning
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22. Neural Networks (Optional)
 Coverage depends upon the level of the students and their
interests
 Teacher will explain live ad libitum
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23. Cats vs Dogs
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24. Cats vs Dogs Explained
 The teacher show Cat vs Dogs recognizer
 Let the student create their own recognizer
 Promises to explain how the recognizer works
 Here is a picture of a cat as your reward
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25. Lab Cats vs Dogs
 Create a Kaggle account
 Watch how recognizer works
 Create your own with another set of animal pictures
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26. BERT Trained
 Explain how BERT is trained
– Send computer to middle and hight school
– Teach it to understand basic English by
• taking some words out of the text
• then playing with the text to restore the words
• this is self-supervised learning
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27. BERT Software
 Then finish it up by telling it how to
– answer questions (Stanford test)
– guess people's sentiments
– or any language task
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28. BERT Lab
 Sentiment analysis tutorial for movie review
 Run the lab
 Let BERT guess the sentiment of a review
 Add your review
 See what BERT says
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29. Hackathon (Optional)
 Divide into teams
 Give teams names
– Eagles, Beavers, Little Rock, Houston, etc.
 Come up with ideas and present them to the class
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