AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 633 · 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 adds to bias? (a) ignore complaints (b) fix wrong labels (c) test on many groups (d) check who is missing
2. 2.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) copy old unfair choices (d) use one group only
3. 3.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) skip testing (d) fix wrong labels
4. 4.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
5. 5.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
6. 6.True or false: “add varied examples” adds to bias. (a) False (b) True
7. 7.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
9. 9.Which of these adds to bias? (a) add varied examples (b) copy old unfair choices (c) fix wrong labels (d) test on many groups
10. 10.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) balance the data (d) add varied examples
12. 12.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) fix wrong labels (d) add more of the same
13. 13.Which of these adds to bias? (a) skip testing (b) test on many groups (c) add varied examples (d) fix wrong labels
14. 14.True or false: “balance the data” adds to bias. (a) True (b) False
15. 15.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
16. 16.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
17. 17.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
18. 18.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
19. 19.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
20. 20.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
21. 21.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
22. 22.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) skip testing (d) copy old unfair choices
23. 23.True or false: “test on many groups” helps reduce bias. (a) True (b) False
24. 24.True or false: “ask different people” adds to bias. (a) True (b) False
25. 25.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
26. 26.Which of these helps reduce bias? (a) check who is missing (b) skip testing (c) copy old unfair choices (d) add more of the same
27. 27.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) check who is missing (d) test on many groups
28. 28.Which of these adds to bias? (a) add varied examples (b) balance the data (c) test on one group only (d) fix wrong labels
29. 29.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) check who is missing (d) use one group only
30. 30.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
32. 32.Which of these helps reduce bias? (a) test on one group only (b) fix wrong labels (c) add more of the same (d) ignore complaints
33. 33.True or false: “use one group only” helps reduce bias. (a) False (b) True
34. 34.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
35. 35.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
36. 36.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
37. 37.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
38. 38.True or false: “add more of the same” adds to bias. (a) False (b) True
39. 39.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
40. 40.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) ask different people (d) skip testing

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