AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 936 · 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: copy old unfair choices? (a) adds to bias (b) reduces bias
2. 2.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
3. 3.True or false: “balance the data” adds to bias. (a) True (b) False
4. 4.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
5. 5.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
6. 6.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
7. 7.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
8. 8.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
9. 9.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) test on one group only (d) add varied examples
10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
11. 11.Which of these helps reduce bias? (a) ask different people (b) use one group only (c) ignore complaints (d) skip testing
12. 12.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
13. 13.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
14. 14.True or false: “add more of the same” helps reduce bias. (a) True (b) False
15. 15.Which of these adds to bias? (a) add varied examples (b) copy old unfair choices (c) check who is missing (d) test on many groups
16. 16.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) add more of the same (d) fix wrong labels
18. 18.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
19. 19.True or false: “add more of the same” adds to bias. (a) True (b) False
20. 20.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.🗣️ 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) children speak too fast (d) it was a rainy day
22. 22.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) ignore complaints (d) copy old unfair choices
23. 23.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
24. 24.Which of these helps reduce bias? (a) fix wrong labels (b) use one group only (c) test on one group only (d) skip testing
25. 25.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) fix wrong labels (d) balance the data
27. 27.Which of these helps reduce bias? (a) test on many groups (b) skip testing (c) use one group only (d) add more of the same
28. 28.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
29. 29.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
30. 30.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) copy old unfair choices (d) fix wrong labels
31. 31.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
32. 32.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
33. 33.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
34. 34.True or false: “add varied examples” adds to bias. (a) True (b) False
35. 35.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
36. 36.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
37. 37.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
38. 38.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
39. 39.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
40. 40.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias

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