← 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 781 · 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.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
  2. 2.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) the weather (d) a text description
  3. 3.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
  4. 4.Which of these describes how AI works? (a) improves with more data (b) one set rule per case (c) same steps every time (d) never learns from data
  5. 5.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
  6. 6.🔍 Which is the odd one out? (a) unlocking with a face (b) spotting spam (c) predicting rain (d) composing a new tune
  7. 7.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  8. 8.🔍 Which is the odd one out? (a) predicting rain (b) sorting photos by face (c) turning speech to text (d) inventing a recipe
  9. 9.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
  10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
  11. 11.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) text (b) music or sound (c) an image
  12. 12.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
  13. 13.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False
  14. 14.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  15. 15.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  16. 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
  17. 17.Which of these is good for training a model? (a) labels added at random (b) wrong labels (c) blurry, unclear photos (d) clear, sharp examples
  18. 18.🔍 Which is the odd one out? (a) very few examples (b) examples of every type (c) labels added at random (d) blurry, unclear photos
  19. 19.🔍 Which is the odd one out? (a) creating a cartoon (b) predicting rain (c) reading number plates (d) suggesting a video
  20. 20.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can mix up numbers (c) AI can be wrong (d) AI answers need checking
  21. 21.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  23. 23.Which of these is bad for training a model? (a) checking labels twice (b) new data for testing (c) very few examples (d) clear, sharp examples
  24. 24.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
  25. 25.Which of these is good for training a model? (a) copies of one photo (b) labels added at random (c) very few examples (d) checking labels twice
  26. 26.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) copy old unfair choices (d) test on many groups
  27. 27.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  28. 28.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  29. 29.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) fix wrong labels (d) ignore complaints
  30. 30.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
  31. 31.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
  32. 32.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  33. 33.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  34. 34.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) writing quiz questions (c) drawing a new picture (d) reading number plates
  35. 35.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
  36. 36.🏷️ 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
  37. 37.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
  38. 38.🔍 Which is the odd one out? (a) a printed timetable (b) voice typing (c) a doorbell (d) a microwave timer
  39. 39.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  40. 40.🤖 What does AI stand for? (a) actual information (b) artificial intelligence (c) app installer (d) automatic internet

Answer key

  1. few child voices in data
  2. a text description
  3. its training data
  4. improves with more data
  5. a normal program
  6. composing a new tune
  7. AI
  8. inventing a recipe
  9. True
  10. recorded spoken words
  11. text
  12. True
  13. False
  14. adds to bias
  15. reduces bias
  16. bias from data
  17. clear, sharp examples
  18. examples of every type
  19. creating a cartoon
  20. AI has real feelings
  21. True
  22. training data
  23. very few examples
  24. music or sound
  25. checking labels twice
  26. test on many groups
  27. old emails marked spam
  28. balanced data
  29. ignore complaints
  30. needs AI (learning)
  31. not AI
  32. True
  33. AI
  34. reading number plates
  35. False
  36. spam
  37. a real check
  38. voice typing
  39. True
  40. artificial intelligence

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