AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 164 · 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: fix wrong labels? (a) reduces bias (b) adds to bias
2. 2.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
3. 3.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
4. 4.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) balance the data (d) test on one group only
5. 5.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
6. 6.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
7. 7.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) skip testing (d) fix wrong labels
8. 8.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
9. 9.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) copy old unfair choices (d) test on one group only
10. 10.True or false: “add more of the same” adds to bias. (a) False (b) True
11. 11.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
12. 12.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) test on one group only (d) ask different people
13. 13.Which of these adds to bias? (a) ignore complaints (b) add varied examples (c) ask different people (d) fix wrong labels
14. 14.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) ignore complaints (d) use one group only
15. 15.Which of these helps reduce bias? (a) add more of the same (b) test on many groups (c) test on one group only (d) ignore complaints
16. 16.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
17. 17.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) add varied examples (d) balance the data
18. 18.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
19. 19.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) add more of the same (d) use one group only
20. 20.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
21. 21.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
22. 22.True or false: “test on many groups” helps reduce bias. (a) True (b) False
23. 23.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
24. 24.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
26. 26.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
27. 27.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
28. 28.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
29. 29.Which of these adds to bias? (a) ask different people (b) test on one group only (c) test on many groups (d) add varied examples
30. 30.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) use one group only (d) fix wrong labels
31. 31.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) copy old unfair choices (d) balance the data
32. 32.True or false: “ignore complaints” adds to bias. (a) False (b) True
33. 33.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
35. 35.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
36. 36.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.Which of these helps reduce bias? (a) check who is missing (b) ignore complaints (c) skip testing (d) test on one group only
38. 38.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) check who is missing (d) ignore complaints
39. 39.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
40. 40.True or false: “check who is missing” adds to bias. (a) False (b) True

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