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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 733 · 40 questions
TalentJR

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

NameDateTime takenScore ___ / 40
  1. 1.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  3. 3.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) add more of the same (d) ask different people
  4. 4.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
  5. 5.🔍 Which is the odd one out? (a) examples of every type (b) testing on training data (c) clear, sharp examples (d) checking labels twice
  6. 6.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) printing (c) cooking (d) charging
  7. 7.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
  8. 8.🎨 An image generator makes a picture from… (a) the weather (b) a text description (c) your password (d) a phone number
  9. 9.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  10. 10.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) testing on training data (d) many varied examples
  11. 11.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
  12. 12.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will be perfect (c) it will shut down (d) it will turn yellow
  13. 13.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) test on many groups (d) add more of the same
  14. 14.True or false: a music app suggesting a song you may like is AI recognising something. (a) True (b) False
  15. 15.True or false: “labelled fruit photos” is training data. (a) True (b) False
  16. 16.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  17. 17.Which of these uses AI? (a) an AI chatbot (b) a calculator (c) a light switch (d) a digital watch
  18. 18.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  19. 19.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) music or sound (b) an image (c) text
  20. 20.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
  21. 21.🤖 What does AI stand for? (a) app installer (b) artificial intelligence (c) actual information (d) automatic internet
  22. 22.Which of these is training data? (a) past weather records (b) naming a new leaf (c) naming a new fruit photo (d) the learned patterns
  23. 23.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  25. 25.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  26. 26.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  27. 27.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  28. 28.True or false: “flagging a new email” is a prediction. (a) False (b) True
  29. 29.Which of these uses AI? (a) a digital watch (b) a microwave timer (c) a spam filter (d) a light switch
  30. 30.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
  31. 31.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) correct labels (d) very few examples
  32. 32.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  33. 33.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) gives a likely answer (d) never learns from data
  34. 34.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) an image (b) music or sound (c) text
  35. 35.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
  36. 36.🔍 Which is the odd one out? (a) reading number plates (b) drafting a letter (c) inventing a recipe (d) drawing a new picture
  37. 37.True or false: “ignore complaints” adds to bias. (a) False (b) True
  38. 38.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
  39. 39.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
  40. 40.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) spotting spam (c) predicting rain (d) composing a new tune

Answer key

  1. makes something new
  2. training data
  3. ask different people
  4. music or sound
  5. testing on training data
  6. recommending
  7. True
  8. a text description
  9. False
  10. many varied examples
  11. True
  12. it may get it wrong
  13. test on many groups
  14. False
  15. True
  16. balanced data
  17. an AI chatbot
  18. one-sided data
  19. music or sound
  20. its training data
  21. artificial intelligence
  22. past weather records
  23. training data
  24. the model
  25. a normal program
  26. makes something new
  27. one-sided data
  28. True
  29. a spam filter
  30. a fact
  31. very few examples
  32. a simple rule is enough
  33. gives a likely answer
  34. text
  35. AI
  36. reading number plates
  37. True
  38. bad for training
  39. bad for training
  40. composing a new tune

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