AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 605 · 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: test on many groups? (a) adds to bias (b) reduces bias
2. 2.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
3. 3.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
4. 4.Which of these helps reduce bias? (a) test on one group only (b) fix wrong labels (c) use one group only (d) copy old unfair choices
5. 5.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) test on many groups (d) add varied examples
6. 6.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
7. 7.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
8. 8.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
9. 9.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) ignore complaints (d) add varied examples
10. 10.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
11. 11.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
12. 12.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
13. 13.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
14. 14.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
15. 15.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
16. 16.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) test on many groups (d) use one group only
18. 18.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) ignore complaints (d) fix wrong labels
20. 20.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
21. 21.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
22. 22.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
23. 23.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
24. 24.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
25. 25.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
26. 26.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) ask different people (d) add more of the same
27. 27.True or false: “add more of the same” helps reduce bias. (a) False (b) True
28. 28.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
29. 29.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
30. 30.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) skip testing (d) test on many groups
31. 31.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
32. 32.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
33. 33.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
34. 34.Which of these helps reduce bias? (a) add more of the same (b) test on many groups (c) skip testing (d) ignore complaints
35. 35.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) ignore complaints (d) add varied examples
36. 36.True or false: “check who is missing” helps reduce bias. (a) True (b) False
37. 37.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
38. 38.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) balance the data (d) add more of the same
39. 39.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
40. 40.True or false: “test on many groups” helps reduce bias. (a) True (b) False

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