AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 658 · 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.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
2. 2.Which of these helps reduce bias? (a) use one group only (b) fix wrong labels (c) test on one group only (d) skip testing
3. 3.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
4. 4.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) add more of the same (d) add varied examples
5. 5.Which of these adds to bias? (a) ask different people (b) balance the data (c) add more of the same (d) check who is missing
6. 6.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) balance the data (d) copy old unfair choices
7. 7.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) skip testing (d) ignore complaints
8. 8.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
9. 9.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) ignore complaints (d) copy old unfair choices
10. 10.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) use one group only (d) check who is missing
11. 11.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
12. 12.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
13. 13.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
15. 15.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) copy old unfair choices (d) check who is missing
16. 16.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) ask different people (d) ignore complaints
17. 17.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
18. 18.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
19. 19.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
20. 20.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
21. 21.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
22. 22.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
23. 23.True or false: “skip testing” helps reduce bias. (a) False (b) True
24. 24.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
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.True or false: “add more of the same” helps reduce bias. (a) False (b) True
27. 27.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
28. 28.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
29. 29.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) ignoring mistakes (d) fewer tests
30. 30.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) ask different people (d) use one group only
31. 31.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
32. 32.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
33. 33.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
34. 34.True or false: “check who is missing” helps reduce bias. (a) False (b) True
35. 35.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
36. 36.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
37. 37.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
38. 38.True or false: “ask different people” adds to bias. (a) True (b) False
39. 39.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
40. 40.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) test on one group only (d) add more of the same

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