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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 180 · 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.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
  2. 2.🔍 Which is the odd one out? (a) AI is never wrong (b) AI always checks facts (c) confident means correct (d) AI learns from data
  3. 3.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  4. 4.True or false: “use one group only” adds to bias. (a) False (b) True
  5. 5.Which of these is bad for training a model? (a) checking labels twice (b) only one kind of example (c) many varied examples (d) photos in many lights
  6. 6.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it is always right (d) it learns from examples
  7. 7.Which of these uses AI? (a) a fan regulator (b) a torch (c) an app translating signs (d) a stopwatch
  8. 8.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) reading number plates (c) unlocking with a face (d) drafting a letter
  9. 9.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
  10. 10.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
  11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
  12. 12.Which of these describes how AI works? (a) learns from examples (b) never learns from data (c) does exactly as coded (d) follows fixed rules
  13. 13.🔍 Which is the odd one out? (a) video suggestions (b) a torch (c) an AI chatbot (d) an image generator
  14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
  15. 15.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) recommending (c) recognising (d) generating
  16. 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
  17. 17.Which of these describes how AI works? (a) never learns from data (b) follows fixed rules (c) one set rule per case (d) gives a likely answer
  18. 18.True or false: “same steps every time” describes how AI works. (a) False (b) True
  19. 19.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) False (b) True
  20. 20.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  21. 21.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  22. 22.True or false: a phone unlocking when it sees your face is AI predicting something. (a) True (b) False
  23. 23.True or false: “balance the data” adds to bias. (a) False (b) True
  24. 24.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  25. 25.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
  26. 26.True or false: “AI can make up facts” is a fact about AI. (a) True (b) False
  27. 27.True or false: “a summary of chapter 3” asks for text. (a) True (b) False
  28. 28.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a basic calculator (d) a spam filter
  29. 29.✨ What does generative AI do? (a) makes new content (b) charges batteries (c) only stores files (d) only adds numbers
  30. 30.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  31. 31.True or false: “very few examples” is good for training a model. (a) False (b) True
  32. 32.🏠 AI or not AI: an AI chatbot? (a) uses AI (b) not AI
  33. 33.🔍 Which is the odd one out? (a) copies of one photo (b) photos in many lights (c) clear, sharp examples (d) examples of every type
  34. 34.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) new data for testing (d) labels added at random
  35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) fix wrong labels (d) add varied examples
  36. 36.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
  37. 37.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
  38. 38.True or false: a book app suggesting a story like your last one is AI recommending something. (a) True (b) False
  39. 39.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) very few examples (d) many varied examples
  40. 40.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True

Answer key

  1. its training data
  2. AI learns from data
  3. AI
  4. True
  5. only one kind of example
  6. it learns from examples
  7. an app translating signs
  8. drafting a letter
  9. it learns patterns
  10. sorts or predicts
  11. spam
  12. learns from examples
  13. a torch
  14. not spam
  15. recommending
  16. not spam
  17. gives a likely answer
  18. False
  19. True
  20. True
  21. spam
  22. False
  23. False
  24. a fact
  25. data, model, prediction
  26. True
  27. True
  28. a basic calculator
  29. makes new content
  30. reduces bias
  31. False
  32. uses AI
  33. copies of one photo
  34. labels added at random
  35. copy old unfair choices
  36. False
  37. True
  38. True
  39. very few examples
  40. True

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