← 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 192 · 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.True or false: “test on many groups” helps reduce bias. (a) True (b) False
  2. 2.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  3. 3.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) add varied examples (d) add more of the same
  4. 4.📱 What is the AI doing here: an online shop showing “you may also like”? (a) generating (b) predicting (c) recognising (d) recommending
  5. 5.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  6. 6.🔍 Which is the odd one out? (a) AI always checks facts (b) AI answers need checking (c) long answers are true (d) confident means correct
  7. 7.🔍 Which is the odd one out? (a) examples of every type (b) clear, sharp examples (c) checking labels twice (d) labels added at random
  8. 8.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) stop studying (c) share it online (d) trust the textbook
  9. 9.True or false: “AI always checks facts” is a fact about AI. (a) True (b) False
  10. 10.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
  11. 11.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recommending (b) predicting (c) generating (d) recognising
  12. 12.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  13. 13.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
  14. 14.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) text (b) music or sound (c) an image
  15. 15.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  16. 16.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  17. 17.🔍 Which is the odd one out? (a) confident means correct (b) AI learns from data (c) AI knows everything (d) AI is never wrong
  18. 18.True or false: “AI knows everything” is a fact about AI. (a) True (b) False
  19. 19.True or false: “AI can be wrong” is a fact about AI. (a) False (b) True
  20. 20.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
  21. 21.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it has a screen (c) it learns from examples (d) it uses electricity
  22. 22.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  23. 23.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
  24. 24.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
  25. 25.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
  26. 26.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  27. 27.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  28. 28.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  29. 29.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  30. 30.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
  31. 31.Which of these adds to bias? (a) add varied examples (b) ask different people (c) skip testing (d) check who is missing
  32. 32.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  33. 33.True or false: “write a poem about the monsoon” asks for an image. (a) True (b) False
  34. 34.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
  35. 35.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
  36. 36.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
  37. 37.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  38. 38.Which of these is a fact about AI? (a) AI is never wrong (b) confident means correct (c) AI has real feelings (d) AI copies data patterns
  39. 39.True or false: “a cheerful tune for Sports Day” asks for an image. (a) True (b) False
  40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam

Answer key

  1. True
  2. one-sided data
  3. add more of the same
  4. recommending
  5. one-sided data
  6. AI answers need checking
  7. labels added at random
  8. trust the textbook
  9. False
  10. False
  11. recommending
  12. makes something new
  13. False
  14. text
  15. a prediction
  16. one-sided data
  17. AI learns from data
  18. False
  19. True
  20. few child voices in data
  21. it learns from examples
  22. AI
  23. not a real check
  24. True
  25. False
  26. True
  27. balanced data
  28. data, model, prediction
  29. False
  30. True
  31. skip testing
  32. AI
  33. False
  34. True
  35. False
  36. False
  37. training data
  38. AI copies data patterns
  39. False
  40. not spam

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