← Bias: when data is unfair lesson New set →

AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 708 · 40 questions
TalentJR

AI tip (Fair data, fairer AI): Bias usually comes from the training data: if a group is missing or shown in only one way, the model copies that. One-sided data: one age group, only ripe mangoes, only adult voices, only neat handwriting. Balanced data: many ages, colours, voices, regions and styles. Reduce bias: add varied examples, check who is missing, test on many groups, fix wrong labels and listen to complaints.

NameDateTime takenScore ___ / 40
  1. 1.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  2. 2.True or false: “ask different people” adds to bias. (a) False (b) True
  3. 3.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) add more of the same (d) use one group only
  4. 4.True or false: “skip testing” helps reduce bias. (a) True (b) False
  5. 5.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) balance the data (d) check who is missing
  6. 6.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
  7. 7.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  8. 8.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
  9. 9.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  10. 10.Which of these helps reduce bias? (a) add varied examples (b) use one group only (c) add more of the same (d) ignore complaints
  11. 11.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
  12. 12.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  13. 13.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) add varied examples (d) ask different people
  14. 14.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
  15. 15.True or false: “add more of the same” adds to bias. (a) False (b) True
  16. 16.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  17. 17.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) ignore complaints (d) ask different people
  18. 18.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  19. 19.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  20. 20.🖼️ 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
  21. 21.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  22. 22.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  23. 23.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) add varied examples (d) ask different people
  24. 24.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  25. 25.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  26. 26.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  27. 27.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  28. 28.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
  29. 29.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  30. 30.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  31. 31.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  33. 33.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  34. 34.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  35. 35.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  36. 36.True or false: “check who is missing” adds to bias. (a) False (b) True
  37. 37.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  38. 38.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  39. 39.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  40. 40.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data

Answer key

  1. balanced data
  2. False
  3. check who is missing
  4. False
  5. skip testing
  6. True
  7. True
  8. reduces bias
  9. True
  10. add varied examples
  11. its training data
  12. adds to bias
  13. use one group only
  14. one-sided data
  15. True
  16. one-sided data
  17. ignore complaints
  18. False
  19. adds to bias
  20. bias from data
  21. False
  22. one-sided data
  23. copy old unfair choices
  24. False
  25. False
  26. True
  27. balanced data
  28. False
  29. balanced data
  30. balanced data
  31. True
  32. reduces bias
  33. balanced data
  34. False
  35. False
  36. False
  37. True
  38. False
  39. False
  40. one-sided data

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