AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 570 · 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.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) copy old unfair choices (d) add more of the same
2. 2.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
3. 3.True or false: “skip testing” helps reduce bias. (a) True (b) False
4. 4.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
5. 5.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) use one group only (d) balance the data
6. 6.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) copy old unfair choices (d) balance the data
7. 7.True or false: “skip testing” adds to bias. (a) False (b) True
8. 8.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
9. 9.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) check who is missing (d) balance the data
10. 10.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) test on many groups (d) copy old unfair choices
11. 11.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
12. 12.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
13. 13.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
14. 14.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
15. 15.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
16. 16.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
17. 17.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
18. 18.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) copy old unfair choices (d) add varied examples
19. 19.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
20. 20.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
21. 21.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) copy old unfair choices (d) check who is missing
22. 22.Which of these adds to bias? (a) add varied examples (b) test on one group only (c) balance the data (d) fix wrong labels
23. 23.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
24. 24.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) balance the data (d) ignore complaints
25. 25.Which of these helps reduce bias? (a) check who is missing (b) use one group only (c) copy old unfair choices (d) ignore complaints
26. 26.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) test on many groups (d) copy old unfair choices
27. 27.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) fix wrong labels (d) balance the data
28. 28.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) test on one group only (d) use one group only
29. 29.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) add more of the same (d) fix wrong labels
30. 30.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
31. 31.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
32. 32.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
33. 33.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
34. 34.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.True or false: “add more of the same” helps reduce bias. (a) True (b) False
36. 36.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
37. 37.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) copy old unfair choices (d) add varied examples
38. 38.True or false: “test on many groups” adds to bias. (a) False (b) True
39. 39.Which of these adds to bias? (a) check who is missing (b) add more of the same (c) test on many groups (d) add varied examples
40. 40.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model

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