AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 421 · 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.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
2. 2.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
3. 3.True or false: “check who is missing” adds to bias. (a) True (b) False
4. 4.Which of these adds to bias? (a) check who is missing (b) copy old unfair choices (c) fix wrong labels (d) ask different people
5. 5.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
6. 6.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) balance the data (d) ignore complaints
8. 8.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
9. 9.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) skip testing (d) fix wrong labels
10. 10.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) check who is missing (d) add more of the same
12. 12.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
13. 13.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) copy old unfair choices (d) use one group only
14. 14.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) test on one group only (d) skip testing
15. 15.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) test on one group only (d) test on many groups
16. 16.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
18. 18.True or false: “test on one group only” helps reduce bias. (a) True (b) False
19. 19.Which of these helps reduce bias? (a) balance the data (b) test on one group only (c) ignore complaints (d) add more of the same
20. 20.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
21. 21.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
22. 22.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
23. 23.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
24. 24.True or false: “test on many groups” adds to bias. (a) True (b) False
25. 25.True or false: “ignore complaints” adds to bias. (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) add more of the same (d) check who is missing
27. 27.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) copy old unfair choices (d) use one group only
28. 28.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) add more of the same (d) add varied examples
29. 29.Which of these helps reduce bias? (a) skip testing (b) fix wrong labels (c) use one group only (d) test on one group only
30. 30.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
31. 31.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
32. 32.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
33. 33.True or false: “skip testing” adds to bias. (a) False (b) True
34. 34.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) test on many groups (d) add varied examples
35. 35.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) check who is missing (d) copy old unfair choices
36. 36.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
37. 37.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
38. 38.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
39. 39.Which of these adds to bias? (a) balance the data (b) test on many groups (c) add varied examples (d) test on one group only
40. 40.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data

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