AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 995 · 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: neat and messy writing from many people? (a) balanced data (b) one-sided data
2. 2.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) ignore complaints (d) add varied examples
3. 3.True or false: “ignore complaints” adds to bias. (a) True (b) False
4. 4.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
5. 5.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
6. 6.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) ask different people (d) skip testing
7. 7.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
8. 8.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
9. 9.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
10. 10.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
12. 12.True or false: “check who is missing” helps reduce bias. (a) True (b) False
13. 13.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
14. 14.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
15. 15.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
17. 17.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
18. 18.Which of these adds to bias? (a) copy old unfair choices (b) ask different people (c) check who is missing (d) add varied examples
19. 19.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
20. 20.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
21. 21.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) add more of the same (d) balance the data
22. 22.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
23. 23.True or false: “use one group only” adds to bias. (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) test on many groups (d) ignore complaints
25. 25.True or false: “balance the data” adds to bias. (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) add more of the same (d) balance the data
27. 27.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) add varied examples (d) check who is missing
28. 28.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
29. 29.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
32. 32.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) ignore complaints (d) add varied examples
33. 33.True or false: “skip testing” helps reduce bias. (a) True (b) False
34. 34.Which of these adds to bias? (a) test on many groups (b) test on one group only (c) ask different people (d) fix wrong labels
35. 35.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
36. 36.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
37. 37.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) copy old unfair choices (d) ask different people
38. 38.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
39. 39.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
40. 40.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) skip testing (d) add more of the same

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