AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 690 · 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) check who is missing (c) balance the data (d) ignore complaints
2. 2.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
3. 3.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) check who is missing (d) ask different people
4. 4.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a broken screen (d) a strong battery
5. 5.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
6. 6.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) the phone was new (d) children speak too fast
7. 7.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
8. 8.Which of these helps reduce bias? (a) ask different people (b) use one group only (c) add more of the same (d) skip testing
9. 9.Which of these adds to bias? (a) add varied examples (b) ignore complaints (c) balance the data (d) fix wrong labels
10. 10.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
12. 12.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
13. 13.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
14. 14.True or false: “add more of the same” helps reduce bias. (a) True (b) False
15. 15.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
16. 16.Which of these helps reduce bias? (a) balance the data (b) skip testing (c) copy old unfair choices (d) use one group only
17. 17.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
18. 18.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) fix wrong labels (d) balance the data
19. 19.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
20. 20.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
21. 21.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
22. 22.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) add more of the same (d) copy old unfair choices
23. 23.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
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) copy old unfair choices (c) test on one group only (d) check who is missing
26. 26.True or false: “test on many groups” helps reduce bias. (a) True (b) False
27. 27.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
28. 28.Which of these helps reduce bias? (a) ignore complaints (b) test on many groups (c) add more of the same (d) skip testing
29. 29.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
30. 30.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
31. 31.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) add more of the same (d) add varied examples
32. 32.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
33. 33.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
34. 34.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
35. 35.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) fix wrong labels (d) skip testing
36. 36.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
37. 37.True or false: “skip testing” adds to bias. (a) False (b) True
38. 38.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
40. 40.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias

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