AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 719 · 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.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) ask different people (d) check who is missing
2. 2.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
4. 4.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) add varied examples (d) copy old unfair choices
5. 5.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
6. 6.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
7. 7.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) test on one group only (d) balance the data
8. 8.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
9. 9.True or false: “skip testing” helps reduce bias. (a) True (b) False
10. 10.True or false: “fix wrong labels” adds to bias. (a) False (b) True
11. 11.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
12. 12.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
13. 13.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
14. 14.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
15. 15.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
16. 16.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) test on many groups (d) ask different people
17. 17.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
18. 18.True or false: “balance the data” adds to bias. (a) False (b) True
19. 19.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) add more of the same (d) check who is missing
20. 20.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
21. 21.True or false: “test on many groups” helps reduce bias. (a) False (b) True
22. 22.Which of these adds to bias? (a) balance the data (b) ask different people (c) check who is missing (d) test on one group only
23. 23.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
24. 24.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
25. 25.True or false: “ask different people” adds to bias. (a) False (b) True
26. 26.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
27. 27.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
28. 28.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) ignore complaints (d) skip testing
29. 29.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
30. 30.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
31. 31.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
32. 32.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) fix wrong labels (d) test on one group only
34. 34.True or false: “check who is missing” helps reduce bias. (a) True (b) False
35. 35.True or false: “check who is missing” adds to bias. (a) True (b) False
36. 36.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
37. 37.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) add more of the same (d) check who is missing
38. 38.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) skip testing (d) test on many groups
39. 39.Which of these adds to bias? (a) add varied examples (b) add more of the same (c) test on many groups (d) ask different people
40. 40.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias

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