AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 270 · 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) ignore complaints (c) use one group only (d) copy old unfair choices
2. 2.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
3. 3.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
4. 4.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
5. 5.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
6. 6.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
7. 7.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) use one group only (d) ignore complaints
9. 9.🗣️ 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
10. 10.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
11. 11.True or false: “use one group only” helps reduce bias. (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) fix wrong labels (d) ignore complaints
13. 13.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) add more of the same (d) test on many groups
14. 14.Which of these helps reduce bias? (a) ask different people (b) use one group only (c) copy old unfair choices (d) skip testing
15. 15.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) copy old unfair choices (d) fix wrong labels
16. 16.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
17. 17.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
18. 18.True or false: “use one group only” adds to bias. (a) False (b) True
19. 19.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
20. 20.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
21. 21.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) add varied examples (d) add more of the same
23. 23.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
24. 24.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
25. 25.Which of these helps reduce bias? (a) skip testing (b) check who is missing (c) copy old unfair choices (d) ignore complaints
26. 26.Which of these adds to bias? (a) add varied examples (b) use one group only (c) check who is missing (d) ask different people
27. 27.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
28. 28.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) add more of the same (d) check who is missing
29. 29.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) check who is missing (d) test on many groups
30. 30.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) skip testing (d) check who is missing
31. 31.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
32. 32.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
33. 33.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
34. 34.True or false: “test on many groups” helps reduce bias. (a) False (b) True
35. 35.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
36. 36.Which of these adds to bias? (a) balance the data (b) skip testing (c) check who is missing (d) ask different people
37. 37.True or false: “balance the data” helps reduce bias. (a) False (b) True
38. 38.True or false: “ignore complaints” adds to bias. (a) False (b) True
39. 39.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.Which of these adds to bias? (a) balance the data (b) add varied examples (c) ask different people (d) copy old unfair choices

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