AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 939 · 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) fix wrong labels (b) ask different people (c) balance the data (d) copy old unfair choices
2. 2.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
3. 3.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
4. 4.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
5. 5.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
6. 6.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
7. 7.True or false: “add varied examples” adds to bias. (a) True (b) False
8. 8.Which of these adds to bias? (a) add varied examples (b) add more of the same (c) fix wrong labels (d) balance the data
9. 9.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
10. 10.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
11. 11.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
12. 12.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
13. 13.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
14. 14.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) test on one group only (d) ignore complaints
16. 16.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
17. 17.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
18. 18.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) balance the data (d) use one group only
20. 20.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
21. 21.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
22. 22.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
24. 24.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) check who is missing (d) test on one group only
25. 25.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) check who is missing (d) balance the data
26. 26.True or false: “fix wrong labels” adds to bias. (a) True (b) False
27. 27.True or false: “add more of the same” helps reduce bias. (a) True (b) False
28. 28.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
29. 29.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) ignore complaints (d) fix wrong labels
30. 30.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
31. 31.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
32. 32.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
33. 33.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
34. 34.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
35. 35.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
36. 36.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) test on one group only (d) ask different people
37. 37.Which of these adds to bias? (a) add varied examples (b) copy old unfair choices (c) test on many groups (d) balance the data
38. 38.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) add more of the same (d) test on many groups
39. 39.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
40. 40.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model

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