AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 464 · 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: add varied examples? (a) adds to bias (b) reduces bias
2. 2.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
3. 3.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
4. 4.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
5. 5.Which of these adds to bias? (a) skip testing (b) test on many groups (c) add varied examples (d) ask different people
6. 6.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
7. 7.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) copy old unfair choices (d) test on one group only
8. 8.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
9. 9.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
10. 10.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) check who is missing (d) add more of the same
11. 11.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
12. 12.True or false: “add varied examples” helps reduce bias. (a) True (b) False
13. 13.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
14. 14.🖼️ 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
15. 15.True or false: “use one group only” helps reduce bias. (a) True (b) False
16. 16.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
17. 17.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
18. 18.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
19. 19.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
20. 20.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
21. 21.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) check who is missing (d) use one group only
22. 22.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) test on many groups (d) balance the data
23. 23.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) skip testing (d) fix wrong labels
25. 25.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) ignore complaints (d) test on many groups
27. 27.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) fix wrong labels (d) ask different people
28. 28.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) use one group only (d) add more of the same
29. 29.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
30. 30.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
31. 31.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
32. 32.True or false: “test on one group only” helps reduce bias. (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) add varied examples (d) balance the data
34. 34.🗣️ 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
35. 35.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
36. 36.True or false: “test on one group only” adds to bias. (a) False (b) True
37. 37.True or false: “test on many groups” adds to bias. (a) False (b) True
38. 38.True or false: “ignore complaints” adds to bias. (a) False (b) True
39. 39.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) ask different people (d) test on one group only

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