AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 684 · 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) ask different people (b) fix wrong labels (c) check who is missing (d) use one group only
2. 2.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
3. 3.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) test on many groups (d) skip testing
4. 4.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
5. 5.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
6. 6.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
7. 7.Which of these adds to bias? (a) ask different people (b) add varied examples (c) fix wrong labels (d) test on one group only
8. 8.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
9. 9.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
11. 11.Which of these helps reduce bias? (a) balance the data (b) test on one group only (c) use one group only (d) copy old unfair choices
12. 12.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
13. 13.Which of these helps reduce bias? (a) ignore complaints (b) add varied examples (c) test on one group only (d) use one group only
14. 14.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a broken screen (d) a strong battery
15. 15.Which of these helps reduce bias? (a) check who is missing (b) copy old unfair choices (c) use one group only (d) test on one group only
16. 16.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
17. 17.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) copy old unfair choices (d) skip testing
20. 20.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
21. 21.True or false: “test on many groups” helps reduce bias. (a) True (b) False
22. 22.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
23. 23.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) ask different people (d) skip testing
25. 25.Which of these adds to bias? (a) add more of the same (b) ask different people (c) balance the data (d) check who is missing
26. 26.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
27. 27.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) ask different people (d) balance the data
28. 28.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
29. 29.True or false: “add more of the same” adds to bias. (a) True (b) False
30. 30.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
31. 31.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
32. 32.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
33. 33.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) ask different people (d) skip testing
34. 34.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) ask different people (d) ignore complaints
35. 35.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
36. 36.True or false: “add varied examples” helps reduce bias. (a) True (b) False
37. 37.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
38. 38.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
39. 39.Which of these adds to bias? (a) balance the data (b) add varied examples (c) fix wrong labels (d) use one group only
40. 40.True or false: “add varied examples” adds to bias. (a) True (b) False

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