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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 798 · 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: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
  2. 2.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it can think (c) only at night (d) yes, it is smart
  3. 3.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  4. 4.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  5. 5.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) turning speech to text (c) composing a new tune (d) sorting photos by face
  6. 6.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
  7. 7.Which of these describes how AI works? (a) improves with more data (b) one set rule per case (c) follows fixed rules (d) uses rules people wrote
  8. 8.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
  9. 9.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) an image (b) text (c) music or sound
  10. 10.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
  11. 11.🔍 Which is the odd one out? (a) photos grouped by face (b) a stopwatch (c) an app translating signs (d) an image generator
  12. 12.Which of these is a myth about AI? (a) AI answers need checking (b) AI always checks facts (c) AI can make up facts (d) AI can mix up numbers
  13. 13.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  14. 14.🤖 What does AI stand for? (a) artificial intelligence (b) automatic internet (c) app installer (d) actual information
  15. 15.🔍 Which is the odd one out? (a) an image generator (b) a digital watch (c) photos grouped by face (d) a spam filter
  16. 16.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) uses rules people wrote (d) gives a likely answer
  17. 17.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
  18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
  19. 19.🔍 Which is the odd one out? (a) AI has real feelings (b) long answers are true (c) AI can make up facts (d) AI always checks facts
  20. 20.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
  21. 21.🔍 Which is the odd one out? (a) AI is never wrong (b) AI answers need checking (c) AI can make up facts (d) AI can be wrong
  22. 22.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a password (c) a backup (d) a summary
  23. 23.🔍 Which is the odd one out? (a) an image generator (b) a spam filter (c) a calculator (d) photos grouped by face
  24. 24.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) recommending (c) charging (d) printing
  25. 25.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
  26. 26.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
  27. 27.🏷️ 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
  28. 28.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
  29. 29.True or false: “AI always checks facts” is a myth about AI. (a) True (b) False
  30. 30.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  31. 31.True or false: “check who is missing” helps reduce bias. (a) False (b) True
  32. 32.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  33. 33.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
  34. 34.🔍 Which is the odd one out? (a) spotting spam (b) inventing a recipe (c) creating a cartoon (d) composing a new tune
  35. 35.🔍 Which is the odd one out? (a) drafting a letter (b) spotting a sick leaf (c) creating a cartoon (d) drawing a new picture
  36. 36.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
  37. 37.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can make up facts (c) AI has real feelings (d) AI learns from data
  38. 38.🔍 Which is the odd one out? (a) AI can make up facts (b) AI can mix up numbers (c) long answers are true (d) AI answers need checking
  39. 39.True or false: “confident means correct” is a myth about AI. (a) False (b) True
  40. 40.Which of these is good for training a model? (a) labels added at random (b) blurry, unclear photos (c) wrong labels (d) new data for testing

Answer key

  1. True
  2. no, it follows rules
  3. a fact
  4. AI
  5. composing a new tune
  6. learn from data
  7. improves with more data
  8. a simple rule is enough
  9. music or sound
  10. more varied data
  11. a stopwatch
  12. AI always checks facts
  13. AI
  14. artificial intelligence
  15. a digital watch
  16. gives a likely answer
  17. no, check it anyway
  18. a prediction
  19. AI can make up facts
  20. True
  21. AI is never wrong
  22. a hallucination
  23. a calculator
  24. recommending
  25. uses AI
  26. True
  27. spam
  28. old emails marked spam
  29. True
  30. good for training
  31. True
  32. a fact
  33. labelled fruit photos
  34. spotting spam
  35. spotting a sick leaf
  36. a simple rule is enough
  37. AI has real feelings
  38. long answers are true
  39. True
  40. new data for testing

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