← 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 349 · 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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
  2. 2.🧮 Which of these is NOT AI? (a) a spam filter (b) face unlock (c) a basic calculator (d) voice typing
  3. 3.🔍 Which is the odd one out? (a) video suggestions (b) face unlock on a phone (c) a voice assistant (d) a light switch
  4. 4.True or false: “labelled fruit photos” is training data. (a) True (b) False
  5. 5.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  6. 6.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
  7. 7.Which of these describes how AI works? (a) follows fixed rules (b) one set rule per case (c) does exactly as coded (d) handles unseen examples
  8. 8.True or false: adding up the marks on a report card needs AI that learns from examples. (a) False (b) True
  9. 9.🔍 Which is the odd one out? (a) AI can be wrong (b) AI has real feelings (c) AI copies data patterns (d) AI learns from data
  10. 10.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  11. 11.Which of these is bad for training a model? (a) many varied examples (b) only one kind of example (c) correct labels (d) clear, sharp examples
  12. 12.🔍 Which is the odd one out? (a) drawing a new picture (b) creating a cartoon (c) suggesting a video (d) drafting a letter
  13. 13.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
  14. 14.🔍 Which is the odd one out? (a) photos in many lights (b) only one kind of example (c) many varied examples (d) examples of every type
  15. 15.🔍 Which is the odd one out? (a) photos in many lights (b) copies of one photo (c) correct labels (d) new data for testing
  16. 16.Which of these describes how AI works? (a) learns from examples (b) one set rule per case (c) never learns from data (d) follows fixed rules
  17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
  18. 18.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  19. 19.True or false: “very few examples” is bad for training a model. (a) True (b) False
  20. 20.True or false: “test on many groups” adds to bias. (a) False (b) True
  21. 21.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
  22. 22.True or false: “it sounds very sure” is a real way to check an AI answer. (a) True (b) False
  23. 23.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
  24. 24.Which of these is not AI? (a) video suggestions (b) an app translating signs (c) a printed timetable (d) voice typing
  25. 25.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  26. 26.Which of these is a fact about AI? (a) AI can mix up numbers (b) AI knows everything (c) long answers are true (d) AI has real feelings
  27. 27.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  28. 28.🔍 Which is the odd one out? (a) many varied examples (b) labels added at random (c) new data for testing (d) photos in many lights
  29. 29.Which of these is good for training a model? (a) labels added at random (b) blurry, unclear photos (c) photos in many lights (d) testing on training data
  30. 30.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
  31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
  32. 32.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  33. 33.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
  34. 34.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) blurry, unclear photos (d) checking labels twice
  35. 35.True or false: “a soft lullaby melody” asks for text. (a) False (b) True
  36. 36.Which of these is not AI? (a) an AI chatbot (b) video suggestions (c) a light switch (d) a map predicting traffic
  37. 37.🔍 Which is the odd one out? (a) AI learns from data (b) AI answers need checking (c) AI can make up facts (d) AI always checks facts
  38. 38.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
  39. 39.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
  40. 40.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a summary (d) a hallucination

Answer key

  1. not spam
  2. a basic calculator
  3. a light switch
  4. True
  5. AI
  6. to see if it works
  7. handles unseen examples
  8. False
  9. AI has real feelings
  10. True
  11. only one kind of example
  12. suggesting a video
  13. not AI
  14. only one kind of example
  15. copies of one photo
  16. learns from examples
  17. spam
  18. a normal program
  19. True
  20. False
  21. False
  22. False
  23. bias from data
  24. a printed timetable
  25. the learned patterns
  26. AI can mix up numbers
  27. needs AI (learning)
  28. labels added at random
  29. photos in many lights
  30. not AI
  31. not spam
  32. False
  33. needs AI (learning)
  34. blurry, unclear photos
  35. False
  36. a light switch
  37. AI always checks facts
  38. a myth
  39. data, model, prediction
  40. a hallucination

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