AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 434 · 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) add more of the same (b) skip testing (c) balance the data (d) ignore complaints
2. 2.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
3. 3.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) fix wrong labels (d) test on one group only
4. 4.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
5. 5.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) fix wrong labels (d) add more of the same
6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
7. 7.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) copy old unfair choices (d) test on many groups
8. 8.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
9. 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) the phone was new (d) it was a rainy day
10. 10.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
11. 11.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
12. 12.Which of these adds to bias? (a) ignore complaints (b) add varied examples (c) test on many groups (d) fix wrong labels
13. 13.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
14. 14.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
15. 15.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
16. 16.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
17. 17.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) fix wrong labels (d) add varied examples
18. 18.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
19. 19.Which of these adds to bias? (a) test on many groups (b) copy old unfair choices (c) check who is missing (d) ask different people
20. 20.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) fix wrong labels (d) use one group only
21. 21.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
22. 22.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
23. 23.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) add varied examples (d) balance the data
24. 24.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) check who is missing (d) add varied examples
25. 25.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) balance the data (d) ignore complaints
26. 26.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
27. 27.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
28. 28.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
29. 29.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) ask different people (d) test on one group only
30. 30.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
31. 31.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) copy old unfair choices (d) ignore complaints
32. 32.Which of these adds to bias? (a) skip testing (b) fix wrong labels (c) ask different people (d) balance the data
33. 33.Which of these helps reduce bias? (a) test on one group only (b) check who is missing (c) copy old unfair choices (d) ignore complaints
34. 34.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) skip testing (d) ignore complaints
35. 35.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
36. 36.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
37. 37.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
38. 38.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
39. 39.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
40. 40.True or false: “test on one group only” adds to bias. (a) False (b) True

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