AI Bias Worksheet for Kids

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

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