AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 325 · 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.True or false: “add more of the same” helps reduce bias. (a) True (b) False
2. 2.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
3. 3.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
4. 4.Which of these adds to bias? (a) balance the data (b) check who is missing (c) add more of the same (d) add varied examples
5. 5.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
6. 6.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) ask different people (d) test on many groups
7. 7.🗣️ 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
8. 8.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
9. 9.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) add varied examples (d) add more of the same
11. 11.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
12. 12.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
13. 13.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
14. 14.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
15. 15.Which of these adds to bias? (a) add varied examples (b) use one group only (c) fix wrong labels (d) test on many groups
16. 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
17. 17.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
18. 18.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
19. 19.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) skip testing (d) ask different people
20. 20.Which of these helps reduce bias? (a) skip testing (b) check who is missing (c) add more of the same (d) copy old unfair choices
21. 21.Which of these helps reduce bias? (a) ignore complaints (b) fix wrong labels (c) skip testing (d) use one group only
22. 22.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) ask different people (d) use one group only
23. 23.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
24. 24.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
25. 25.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
26. 26.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
27. 27.Which of these helps reduce bias? (a) balance the data (b) test on one group only (c) ignore complaints (d) copy old unfair choices
28. 28.True or false: “add varied examples” helps reduce bias. (a) True (b) False
29. 29.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
30. 30.Which of these adds to bias? (a) add varied examples (b) ask different people (c) test on one group only (d) fix wrong labels
31. 31.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) ignore complaints (d) add more of the same
33. 33.True or false: “test on many groups” helps reduce bias. (a) True (b) False
34. 34.True or false: “balance the data” adds to bias. (a) False (b) True
35. 35.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
36. 36.True or false: “check who is missing” helps reduce bias. (a) False (b) True
37. 37.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
38. 38.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) copy old unfair choices (d) check who is missing
39. 39.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
40. 40.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data

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