← Part 1 test: what AI is lesson New set →

AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 397 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
  2. 2.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
  3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
  4. 4.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) True (b) False
  5. 5.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
  6. 6.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) only on weekends (c) no, it finds patterns (d) yes, just like us
  7. 7.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  8. 8.True or false: “use one group only” adds to bias. (a) False (b) True
  9. 9.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
  10. 10.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
  11. 11.Which of these is the model? (a) the trained program (b) old emails marked spam (c) past weather records (d) typing a new spoken word
  12. 12.True or false: “skip testing” helps reduce bias. (a) True (b) False
  13. 13.Which of these is good for training a model? (a) wrong labels (b) checking labels twice (c) only one kind of example (d) very few examples
  14. 14.Which of these is not AI? (a) face unlock on a phone (b) a kitchen weighing scale (c) photos grouped by face (d) a spam filter
  15. 15.True or false: an online shop showing “you may also like” is AI recommending something. (a) True (b) False
  16. 16.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
  17. 17.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) face unlock (d) a basic calculator
  18. 18.True or false: “AI learns from data” is a myth about AI. (a) False (b) True
  19. 19.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
  20. 20.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) the Moon (d) people
  21. 21.Which of these describes how a normal program works? (a) never learns from data (b) improves with more data (c) gives a likely answer (d) learns from examples
  22. 22.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
  23. 23.Which of these is good for training a model? (a) clear, sharp examples (b) labels added at random (c) very few examples (d) only one kind of example
  24. 24.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
  25. 25.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  26. 26.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) checking labels twice (d) blurry, unclear photos
  27. 27.🔍 Which is the odd one out? (a) clear, sharp examples (b) blurry, unclear photos (c) very few examples (d) labels added at random
  28. 28.Which of these describes how AI works? (a) spots patterns in data (b) never learns from data (c) does exactly as coded (d) follows fixed rules
  29. 29.True or false: “a story about a brave ant” asks for text. (a) False (b) True
  30. 30.True or false: “a drum beat for a dance” asks for text. (a) True (b) False
  31. 31.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  32. 32.True or false: “naming a new leaf” is training data. (a) False (b) True
  33. 33.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) suggesting a video (c) spotting spam (d) drafting a letter
  34. 34.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
  35. 35.True or false: “AI can mix up numbers” is a myth about AI. (a) True (b) False
  36. 36.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recognising (b) predicting (c) generating (d) recommending
  37. 37.True or false: “examples of every type” is bad for training a model. (a) True (b) False
  38. 38.True or false: “AI has real feelings” is a fact about AI. (a) False (b) True
  39. 39.🔍 Which is the odd one out? (a) very few examples (b) correct labels (c) photos in many lights (d) examples of every type
  40. 40.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds

Answer key

  1. bias from data
  2. no, check it anyway
  3. spam
  4. True
  5. not a real check
  6. no, it finds patterns
  7. good for training
  8. True
  9. bad for training
  10. False
  11. the trained program
  12. False
  13. checking labels twice
  14. a kitchen weighing scale
  15. True
  16. True
  17. a basic calculator
  18. False
  19. True
  20. people
  21. never learns from data
  22. makes something new
  23. clear, sharp examples
  24. not a real check
  25. False
  26. checking labels twice
  27. clear, sharp examples
  28. spots patterns in data
  29. True
  30. False
  31. the learned patterns
  32. False
  33. drafting a letter
  34. not AI
  35. False
  36. recognising
  37. False
  38. False
  39. very few examples
  40. what training builds

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students