AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 403 · 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.🗣️ 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
2. 2.Which of these helps reduce bias? (a) skip testing (b) ask different people (c) copy old unfair choices (d) ignore complaints
3. 3.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) use one group only (d) test on one group only
4. 4.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
5. 5.True or false: “fix wrong labels” adds to bias. (a) False (b) True
6. 6.True or false: “test on one group only” adds to bias. (a) False (b) True
7. 7.Which of these adds to bias? (a) add varied examples (b) ask different people (c) fix wrong labels (d) test on one group only
8. 8.True or false: “ignore complaints” adds to bias. (a) True (b) False
9. 9.True or false: “skip testing” helps reduce bias. (a) False (b) True
10. 10.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) ask different people (d) use one group only
11. 11.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
13. 13.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) add varied examples (d) ignore complaints
16. 16.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
17. 17.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.Which of these helps reduce bias? (a) fix wrong labels (b) test on one group only (c) add more of the same (d) ignore complaints
19. 19.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
20. 20.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
21. 21.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
22. 22.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) copy old unfair choices (d) add varied examples
23. 23.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) use one group only (d) test on many groups
24. 24.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
25. 25.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
26. 26.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
27. 27.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) skip testing (d) add varied examples
28. 28.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
29. 29.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
30. 30.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) skip testing (d) check who is missing
31. 31.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) ask different people (d) use one group only
32. 32.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
33. 33.True or false: “test on many groups” adds to bias. (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) ignore complaints (d) fix wrong labels
35. 35.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
36. 36.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
37. 37.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
38. 38.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) fix wrong labels (d) copy old unfair choices
39. 39.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
40. 40.True or false: “test on one group only” helps reduce bias. (a) True (b) False

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