AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 756 · 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 of these helps reduce bias? (a) fix wrong labels (b) ignore complaints (c) use one group only (d) skip testing
2. 2.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
3. 3.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
4. 4.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
5. 5.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
6. 6.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
7. 7.Which of these adds to bias? (a) add more of the same (b) balance the data (c) check who is missing (d) fix wrong labels
8. 8.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
9. 9.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) use one group only (d) ask different people
10. 10.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
12. 12.True or false: “test on many groups” adds to bias. (a) True (b) False
13. 13.Which of these adds to bias? (a) skip testing (b) fix wrong labels (c) balance the data (d) check who is missing
14. 14.True or false: “check who is missing” helps reduce bias. (a) False (b) True
15. 15.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
16. 16.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) balance the data (d) check who is missing
17. 17.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
18. 18.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
19. 19.True or false: “ignore complaints” adds to bias. (a) False (b) True
20. 20.True or false: “test on one group only” helps reduce bias. (a) False (b) True
21. 21.True or false: “use one group only” helps reduce bias. (a) False (b) True
22. 22.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
23. 23.🗣️ 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
24. 24.True or false: “add more of the same” adds to bias. (a) False (b) True
25. 25.Which of these adds to bias? (a) test on many groups (b) copy old unfair choices (c) ask different people (d) fix wrong labels
26. 26.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
27. 27.True or false: “check who is missing” adds to bias. (a) True (b) False
28. 28.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) skip testing (d) check who is missing
29. 29.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
30. 30.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) copy old unfair choices (d) add more of the same
31. 31.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.Which of these helps reduce bias? (a) add varied examples (b) test on one group only (c) skip testing (d) use one group only
33. 33.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
34. 34.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) balance the data (d) ignore complaints
35. 35.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
36. 36.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
37. 37.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
38. 38.Which of these helps reduce bias? (a) test on one group only (b) ask different people (c) copy old unfair choices (d) add more of the same
39. 39.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) test on one group only (d) add varied examples

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