AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 95 · 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.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
2. 2.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
3. 3.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) balance the data (d) skip testing
4. 4.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) add varied examples (d) use one group only
5. 5.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
6. 6.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
7. 7.True or false: “ask different people” helps reduce bias. (a) False (b) True
8. 8.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
9. 9.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
10. 10.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
11. 11.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
12. 12.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
14. 14.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) add varied examples (d) ignore complaints
16. 16.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) ignore complaints (d) test on one group only
17. 17.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
18. 18.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
19. 19.Which of these adds to bias? (a) add more of the same (b) fix wrong labels (c) balance the data (d) ask different people
20. 20.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
22. 22.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
23. 23.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) add more of the same (d) test on many groups
24. 24.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
25. 25.Which of these adds to bias? (a) balance the data (b) add varied examples (c) test on many groups (d) use one group only
26. 26.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
27. 27.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
28. 28.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
29. 29.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
30. 30.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
31. 31.Which of these helps reduce bias? (a) add more of the same (b) fix wrong labels (c) use one group only (d) copy old unfair choices
32. 32.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
33. 33.True or false: “skip testing” adds to bias. (a) True (b) False
34. 34.Which of these adds to bias? (a) test on one group only (b) add varied examples (c) balance the data (d) ask different people
35. 35.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) skip testing (d) check who is missing
36. 36.True or false: “test on many groups” helps reduce bias. (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) balance the data (d) use one group only
38. 38.True or false: “add more of the same” adds to bias. (a) False (b) True
39. 39.True or false: “add varied examples” helps reduce bias. (a) True (b) False
40. 40.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias

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