AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 826 · 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.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
2. 2.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
3. 3.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
4. 4.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
5. 5.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
6. 6.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) copy old unfair choices (d) skip testing
7. 7.True or false: “check who is missing” adds to bias. (a) False (b) True
8. 8.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
9. 9.True or false: “test on one group only” adds to bias. (a) True (b) False
10. 10.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
11. 11.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
12. 12.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) balance the data (d) copy old unfair choices
13. 13.Which of these adds to bias? (a) check who is missing (b) balance the data (c) add more of the same (d) ask different people
14. 14.True or false: “test on one group only” helps reduce bias. (a) True (b) False
15. 15.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
16. 16.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
17. 17.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
18. 18.Which of these helps reduce bias? (a) ask different people (b) test on one group only (c) add more of the same (d) copy old unfair choices
19. 19.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
21. 21.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) test on many groups (d) fix wrong labels
23. 23.Which of these helps reduce bias? (a) copy old unfair choices (b) fix wrong labels (c) skip testing (d) test on one group only
24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
25. 25.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) skip testing (d) copy old unfair choices
26. 26.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
27. 27.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
28. 28.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) use one group only (d) test on one group only
29. 29.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
30. 30.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
31. 31.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
32. 32.Which of these adds to bias? (a) check who is missing (b) use one group only (c) ask different people (d) fix wrong labels
33. 33.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
34. 34.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) test on one group only (d) ignore complaints
35. 35.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
36. 36.True or false: “ignore complaints” adds to bias. (a) False (b) True
37. 37.True or false: “skip testing” helps reduce bias. (a) True (b) False
38. 38.True or false: “fix wrong labels” adds to bias. (a) True (b) False
39. 39.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True

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