AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 698 · 40 questions

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.

1. 1.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
3. 3.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) balance the data (d) add varied examples
4. 4.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) copy old unfair choices (d) test on many groups
5. 5.Which of these adds to bias? (a) test on many groups (b) balance the data (c) use one group only (d) add varied examples
6. 6.True or false: “test on many groups” helps reduce bias. (a) False (b) True
7. 7.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
8. 8.True or false: “add more of the same” helps reduce bias. (a) True (b) False
9. 9.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
10. 10.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
11. 11.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) use one group only (d) check who is missing
12. 12.Which of these adds to bias? (a) ask different people (b) ignore complaints (c) test on many groups (d) add varied examples
13. 13.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
15. 15.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
17. 17.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) fix wrong labels (d) check who is missing
18. 18.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
19. 19.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
20. 20.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
21. 21.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
22. 22.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
23. 23.Which of these adds to bias? (a) add more of the same (b) test on many groups (c) fix wrong labels (d) balance the data
24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
25. 25.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) copy old unfair choices (d) use one group only
26. 26.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) ignore complaints (d) add varied examples
27. 27.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) ask different people (d) copy old unfair choices
28. 28.Which of these helps reduce bias? (a) use one group only (b) ask different people (c) skip testing (d) add more of the same
29. 29.True or false: “skip testing” helps reduce bias. (a) False (b) True
30. 30.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
31. 31.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
32. 32.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) check who is missing (d) test on one group only
33. 33.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) fix wrong labels (d) copy old unfair choices
36. 36.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
37. 37.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
38. 38.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
39. 39.True or false: “fix wrong labels” adds to bias. (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) add more of the same (d) add varied examples

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