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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 657 · 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.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it can think (c) yes, it is smart (d) no, it follows rules
  2. 2.🔍 Which is the odd one out? (a) a spam filter (b) face unlock on a phone (c) an AI chatbot (d) a microwave timer
  3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
  4. 4.Which of these describes how AI works? (a) follows fixed rules (b) never learns from data (c) improves with more data (d) same steps every time
  5. 5.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
  6. 6.True or false: “very few examples” is bad for training a model. (a) False (b) True
  7. 7.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  8. 8.Which of these is good for training a model? (a) blurry, unclear photos (b) checking labels twice (c) testing on training data (d) labels added at random
  9. 9.🔍 Which is the odd one out? (a) spotting spam (b) suggesting a video (c) unlocking with a face (d) drafting a letter
  10. 10.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
  11. 11.🔍 Which is the odd one out? (a) a light switch (b) an AI chatbot (c) a printed timetable (d) a digital watch
  12. 12.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
  13. 13.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) copy old unfair choices (d) ask different people
  14. 14.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
  15. 15.🔍 Which is the odd one out? (a) a spam filter (b) voice typing (c) face unlock on a phone (d) a torch
  16. 16.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  17. 17.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  18. 18.True or false: a keyboard guessing your next word is AI predicting something. (a) False (b) True
  19. 19.True or false: “long answers are true” is a fact about AI. (a) False (b) True
  20. 20.True or false: “AI learns from data” is a fact about AI. (a) False (b) True
  21. 21.✨ What does generative AI do? (a) makes new content (b) charges batteries (c) only stores files (d) only adds numbers
  22. 22.Which of these describes how a normal program works? (a) one set rule per case (b) handles unseen examples (c) improves with more data (d) spots patterns in data
  23. 23.Which of these is a prediction? (a) tomorrow’s rain guess (b) recorded spoken words (c) the learned patterns (d) what training builds
  24. 24.Which of these uses AI? (a) video suggestions (b) a microwave timer (c) a fan regulator (d) a light switch
  25. 25.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) copy it straight away (c) never do maths (d) check it on paper
  26. 26.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) False (b) True
  27. 27.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  28. 28.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  29. 29.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  30. 30.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) True (b) False
  31. 31.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
  32. 32.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  33. 33.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) music or sound (b) text (c) an image
  34. 34.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
  35. 35.🔍 Which is the odd one out? (a) only one kind of example (b) testing on training data (c) wrong labels (d) checking labels twice
  36. 36.Which of these uses AI? (a) a kitchen weighing scale (b) a microwave timer (c) an AI chatbot (d) a calculator
  37. 37.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
  38. 38.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  39. 39.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
  40. 40.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False

Answer key

  1. no, it follows rules
  2. a microwave timer
  3. spam
  4. improves with more data
  5. a fact
  6. True
  7. False
  8. checking labels twice
  9. drafting a letter
  10. False
  11. an AI chatbot
  12. more varied data
  13. copy old unfair choices
  14. recorded spoken words
  15. a torch
  16. reduces bias
  17. reduces bias
  18. True
  19. False
  20. True
  21. makes new content
  22. one set rule per case
  23. tomorrow’s rain guess
  24. video suggestions
  25. check it on paper
  26. False
  27. True
  28. a normal program
  29. needs AI (learning)
  30. True
  31. False
  32. good for training
  33. music or sound
  34. bad for training
  35. checking labels twice
  36. an AI chatbot
  37. it learns patterns
  38. adds to bias
  39. a simple rule is enough
  40. False

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