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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 332 · 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.True or false: “a picture of a castle made of mangoes” asks for text. (a) True (b) False
  2. 2.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the textbook (c) trust the AI (d) share it online
  3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
  4. 4.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) text (b) an image (c) music or sound
  5. 5.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  6. 6.True or false: a car camera reading a speed sign is AI generating something new. (a) True (b) False
  7. 7.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  8. 8.True or false: a car camera reading a speed sign is AI recommending something. (a) False (b) True
  9. 9.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  10. 10.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
  11. 11.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) use one group only (d) add more of the same
  12. 12.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
  13. 13.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) False (b) True
  14. 14.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
  15. 15.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it uses electricity (c) it has a screen (d) it learns from examples
  16. 16.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) photos in many lights (d) copies of one photo
  17. 17.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) ignore complaints (d) copy old unfair choices
  18. 18.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
  19. 19.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
  20. 20.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) one single photo (d) a list of rules only
  21. 21.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it is smart (c) only at night (d) yes, it can think
  22. 22.Which of these uses AI? (a) face unlock on a phone (b) a light switch (c) a torch (d) a digital watch
  23. 23.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
  24. 24.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
  25. 25.Which of these is bad for training a model? (a) correct labels (b) only one kind of example (c) clear, sharp examples (d) photos in many lights
  26. 26.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
  27. 27.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  28. 28.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  29. 29.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
  30. 30.Which of these is bad for training a model? (a) labels added at random (b) correct labels (c) new data for testing (d) photos in many lights
  31. 31.Which of these adds to bias? (a) ask different people (b) use one group only (c) test on many groups (d) check who is missing
  32. 32.Which of these is generative AI (it makes something new)? (a) writing a new poem (b) unlocking with a face (c) spotting a sick leaf (d) sorting photos by face
  33. 33.🛠️ Which does this job need: translating a sentence into Hindi? (a) needs AI (learning) (b) a simple rule is enough
  34. 34.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
  35. 35.True or false: a car camera reading a speed sign is AI recognising something. (a) True (b) False
  36. 36.Which of these describes how AI works? (a) same steps every time (b) handles unseen examples (c) one set rule per case (d) never learns from data
  37. 37.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
  38. 38.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
  39. 39.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  40. 40.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True

Answer key

  1. False
  2. trust the textbook
  3. not spam
  4. music or sound
  5. True
  6. False
  7. balanced data
  8. False
  9. bad for training
  10. not a real check
  11. fix wrong labels
  12. not AI
  13. True
  14. to see if it works
  15. it learns from examples
  16. photos in many lights
  17. test on many groups
  18. False
  19. bad for training
  20. many labelled photos
  21. no, it follows rules
  22. face unlock on a phone
  23. one-sided data
  24. more varied data
  25. only one kind of example
  26. uses AI
  27. reduces bias
  28. balanced data
  29. a simple rule is enough
  30. labels added at random
  31. use one group only
  32. writing a new poem
  33. needs AI (learning)
  34. it learns patterns
  35. True
  36. handles unseen examples
  37. makes something new
  38. True
  39. good for training
  40. True

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