AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 208 · 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.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
2. 2.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
3. 3.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) test on many groups (d) add varied examples
4. 4.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) copy old unfair choices (d) use one group only
5. 5.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) the phone was new (d) children speak too fast
6. 6.Which of these adds to bias? (a) check who is missing (b) balance the data (c) copy old unfair choices (d) add varied examples
7. 7.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
8. 8.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) copy old unfair choices (d) ignore complaints
9. 9.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) copy old unfair choices (d) fix wrong labels
10. 10.True or false: “fix wrong labels” adds to bias. (a) True (b) False
11. 11.True or false: “add more of the same” helps reduce bias. (a) True (b) False
12. 12.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
13. 13.True or false: “ask different people” adds to bias. (a) False (b) True
14. 14.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
16. 16.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) add varied examples (d) skip testing
17. 17.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
18. 18.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
19. 19.🔍 Which is the odd one out? (a) balance the data (b) ignore complaints (c) skip testing (d) use one group only
20. 20.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
21. 21.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) balance the data
22. 22.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
23. 23.True or false: “check who is missing” helps reduce bias. (a) False (b) True
24. 24.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
25. 25.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
26. 26.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
27. 27.True or false: “add varied examples” adds to bias. (a) True (b) False
28. 28.True or false: “test on one group only” adds to bias. (a) False (b) True
29. 29.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
30. 30.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
31. 31.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
32. 32.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) skip testing (d) check who is missing
33. 33.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) fix wrong labels (d) add more of the same
34. 34.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a broken screen (d) a strong battery
35. 35.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
36. 36.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
37. 37.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
38. 38.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) test on many groups (d) use one group only
39. 39.Which of these adds to bias? (a) add varied examples (b) add more of the same (c) balance the data (d) test on many groups
40. 40.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) use one group only (d) test on many groups

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