AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 809 · 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: add more of the same? (a) reduces bias (b) adds to bias
2. 2.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
3. 3.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) add more of the same (d) balance the data
4. 4.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
5. 5.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
6. 6.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
7. 7.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
8. 8.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
10. 10.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) test on one group only (d) check who is missing
11. 11.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) balance the data (d) use one group only
12. 12.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
13. 13.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
14. 14.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
15. 15.True or false: “balance the data” adds to bias. (a) True (b) False
16. 16.Which of these helps reduce bias? (a) check who is missing (b) add more of the same (c) use one group only (d) skip testing
17. 17.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
18. 18.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
19. 19.Which of these adds to bias? (a) ask different people (b) test on many groups (c) check who is missing (d) add more of the same
20. 20.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
21. 21.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) add varied examples (d) balance the data
22. 22.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) test on many groups (d) add varied examples
23. 23.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) test on many groups (d) use one group only
24. 24.True or false: “add varied examples” adds to bias. (a) True (b) False
25. 25.True or false: “fix wrong labels” adds to bias. (a) True (b) False
26. 26.True or false: “ask different people” helps reduce bias. (a) True (b) False
27. 27.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
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: photos of people from only one age group? (a) one-sided data (b) balanced data
30. 30.True or false: “test on many groups” adds to bias. (a) False (b) True
31. 31.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
32. 32.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
33. 33.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
34. 34.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) test on one group only (d) balance the data
35. 35.Which of these helps reduce bias? (a) fix wrong labels (b) ignore complaints (c) skip testing (d) copy old unfair choices
36. 36.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
37. 37.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) test on many groups (d) check who is missing
38. 38.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
39. 39.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) children speak too fast (d) it was a rainy day
40. 40.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False

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