← 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 424 · 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.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a password (c) a label (d) a battery
  2. 2.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
  3. 3.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
  4. 4.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
  5. 5.Which of these is a myth about AI? (a) AI is never wrong (b) AI learns from data (c) AI answers need checking (d) AI copies data patterns
  6. 6.Which of these is a fact about AI? (a) AI has real feelings (b) long answers are true (c) confident means correct (d) AI can be wrong
  7. 7.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) app installer (d) actual information
  8. 8.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
  9. 9.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) recorded spoken words (d) naming a new fruit photo
  10. 10.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  11. 11.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
  12. 12.🔍 Which is the odd one out? (a) voice typing (b) a calculator (c) face unlock on a phone (d) an AI chatbot
  13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
  14. 14.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  15. 15.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
  16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
  17. 17.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) does exactly as coded (d) learns from examples
  18. 18.Which of these is a myth about AI? (a) AI can make up facts (b) AI can mix up numbers (c) AI answers need checking (d) AI knows everything
  19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  20. 20.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
  21. 21.True or false: “the learned patterns” is the model. (a) False (b) True
  22. 22.True or false: “long answers are true” is a myth about AI. (a) True (b) False
  23. 23.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
  24. 24.True or false: a camera app naming the flower you point at is AI recognising something. (a) True (b) False
  25. 25.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) add varied examples (d) copy old unfair choices
  26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  27. 27.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  28. 28.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  30. 30.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  31. 31.Which of these is not AI? (a) video suggestions (b) face unlock on a phone (c) a spam filter (d) a light switch
  32. 32.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) photos in many lights (d) labels added at random
  33. 33.Which of these uses AI? (a) a map predicting traffic (b) a light switch (c) a stopwatch (d) a calculator
  34. 34.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) blurry, unclear photos (d) many varied examples
  35. 35.True or false: “five quiz questions on fractions” asks for an image. (a) False (b) True
  36. 36.Which of these describes how AI works? (a) never learns from data (b) follows fixed rules (c) does exactly as coded (d) learns from examples
  37. 37.🔍 Which is the odd one out? (a) composing a new tune (b) sorting photos by face (c) suggesting a video (d) unlocking with a face
  38. 38.True or false: “it has a neat layout” is a real way to check an AI answer. (a) False (b) True
  39. 39.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
  40. 40.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program

Answer key

  1. a prompt
  2. no, it can be wrong
  3. labelled fruit photos
  4. not AI
  5. AI is never wrong
  6. AI can be wrong
  7. artificial intelligence
  8. AI
  9. naming a new fruit photo
  10. reduces bias
  11. more varied data
  12. a calculator
  13. few child voices in data
  14. AI
  15. uses AI
  16. a prediction
  17. does exactly as coded
  18. AI knows everything
  19. training data
  20. a myth
  21. True
  22. True
  23. True
  24. True
  25. copy old unfair choices
  26. training data
  27. True
  28. makes something new
  29. training data
  30. AI
  31. a light switch
  32. photos in many lights
  33. a map predicting traffic
  34. many varied examples
  35. False
  36. learns from examples
  37. composing a new tune
  38. False
  39. False
  40. recorded spoken words

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