AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 414 · 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) test on many groups (b) balance the data (c) test on one group only (d) fix wrong labels
2. 2.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
3. 3.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) ignore complaints (d) fix wrong labels
4. 4.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
5. 5.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
6. 6.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
7. 7.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
8. 8.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
9. 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
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 of these adds to bias? (a) ignore complaints (b) add varied examples (c) test on many groups (d) ask different people
12. 12.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) copy old unfair choices (d) check who is missing
13. 13.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
14. 14.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) add varied examples (d) add more of the same
15. 15.True or false: “test on one group only” helps reduce bias. (a) False (b) True
16. 16.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
17. 17.True or false: “add more of the same” adds to bias. (a) False (b) True
18. 18.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) use one group only (d) add varied examples
19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
20. 20.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) add varied examples (d) skip testing
21. 21.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) test on one group only (d) add more of the same
22. 22.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
23. 23.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) ask different people (d) balance the data
24. 24.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) skip testing (d) copy old unfair choices
26. 26.True or false: “add varied examples” adds to bias. (a) True (b) False
27. 27.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
28. 28.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) test on one group only (d) balance the data
29. 29.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
30. 30.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
31. 31.Which of these helps reduce bias? (a) test on one group only (b) fix wrong labels (c) use one group only (d) ignore complaints
32. 32.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
33. 33.🖼️ 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
34. 34.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) use one group only (d) add varied examples
35. 35.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
36. 36.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
37. 37.Which of these helps reduce bias? (a) test on many groups (b) add more of the same (c) test on one group only (d) use one group only
38. 38.Which of these adds to bias? (a) copy old unfair choices (b) test on many groups (c) fix wrong labels (d) add varied examples
39. 39.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
40. 40.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False

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