← 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 438 · 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.Which of these uses AI? (a) a light switch (b) a doorbell (c) a kitchen weighing scale (d) face unlock on a phone
  2. 2.🔍 Which is the odd one out? (a) face unlock on a phone (b) a stopwatch (c) video suggestions (d) photos grouped by face
  3. 3.Which of these is a myth about AI? (a) AI has real feelings (b) AI copies data patterns (c) AI can make up facts (d) AI answers need checking
  4. 4.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
  5. 5.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
  6. 6.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
  7. 7.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) the weather (d) nobody at all
  8. 8.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a basic calculator (d) a spam filter
  9. 9.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) copy old unfair choices (d) fix wrong labels
  10. 10.Which of these is a myth about AI? (a) AI knows everything (b) AI answers need checking (c) AI can make up facts (d) AI copies data patterns
  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.✨ What does generative AI do? (a) makes new content (b) charges batteries (c) only adds numbers (d) only stores files
  13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
  15. 15.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
  16. 16.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
  17. 17.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  18. 18.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  19. 19.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) writing a new poem (c) turning speech to text (d) suggesting a video
  20. 20.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
  21. 21.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) no, check it anyway (c) yes, if it is long
  22. 22.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
  23. 23.Which of these is bad for training a model? (a) very few examples (b) photos in many lights (c) checking labels twice (d) clear, sharp examples
  24. 24.True or false: “AI can mix up numbers” is a fact about AI. (a) True (b) False
  25. 25.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  26. 26.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  27. 27.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False
  28. 28.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) generating (b) predicting (c) recommending (d) recognising
  29. 29.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
  30. 30.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
  31. 31.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
  32. 32.🔍 Which is the odd one out? (a) AI answers need checking (b) AI can mix up numbers (c) AI can make up facts (d) AI has real feelings
  33. 33.True or false: “it has a neat layout” is a real way to check an AI answer. (a) False (b) True
  34. 34.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  35. 35.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
  36. 36.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) generating (b) recognising (c) predicting (d) recommending
  37. 37.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
  38. 38.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) print pages (d) charge faster
  39. 39.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) True (b) False
  40. 40.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI

Answer key

  1. face unlock on a phone
  2. a stopwatch
  3. AI has real feelings
  4. uses AI
  5. sorts or predicts
  6. True
  7. people
  8. a basic calculator
  9. copy old unfair choices
  10. AI knows everything
  11. spam
  12. makes new content
  13. training data
  14. spam
  15. a fact
  16. past weather records
  17. False
  18. reduces bias
  19. writing a new poem
  20. good for training
  21. no, check it anyway
  22. better at its task
  23. very few examples
  24. True
  25. a normal program
  26. True
  27. True
  28. recognising
  29. not AI
  30. sorts or predicts
  31. not AI
  32. AI has real feelings
  33. False
  34. False
  35. True
  36. generating
  37. bias from data
  38. learn from data
  39. True
  40. uses AI

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