AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 333 · 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) copy old unfair choices (b) add more of the same (c) balance the data (d) test on one group only
2. 2.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
3. 3.Which of these adds to bias? (a) skip testing (b) ask different people (c) fix wrong labels (d) test on many groups
4. 4.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
5. 5.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
6. 6.True or false: “add more of the same” helps reduce bias. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) use one group only (d) skip testing
8. 8.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) copy old unfair choices (d) test on many groups
9. 9.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) ask different people (d) use one group only
10. 10.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) fix wrong labels (d) test on many groups
12. 12.True or false: “use one group only” helps reduce bias. (a) True (b) False
13. 13.True or false: “test on one group only” adds to bias. (a) False (b) True
14. 14.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
15. 15.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
16. 16.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
17. 17.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) balance the data (d) test on many groups
18. 18.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
20. 20.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) balance the data (d) use one group only
21. 21.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
22. 22.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) use one group only (d) test on many groups
23. 23.Which of these helps reduce bias? (a) fix wrong labels (b) ignore complaints (c) use one group only (d) add more of the same
24. 24.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
25. 25.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) balance the data (d) ignore complaints
27. 27.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
28. 28.Which of these adds to bias? (a) add varied examples (b) ignore complaints (c) test on many groups (d) ask different people
29. 29.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
30. 30.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
31. 31.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
32. 32.True or false: “skip testing” adds to bias. (a) True (b) False
33. 33.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) ignore complaints (d) balance the data
34. 34.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
35. 35.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
36. 36.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) add varied examples (d) copy old unfair choices
37. 37.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) copy old unfair choices (d) check who is missing
38. 38.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
39. 39.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
40. 40.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias

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