AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 944 · 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 of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) fix wrong labels (d) use one group only
2. 2.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
3. 3.True or false: “add varied examples” helps reduce bias. (a) False (b) True
4. 4.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
5. 5.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
6. 6.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
7. 7.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
9. 9.Which of these adds to bias? (a) balance the data (b) check who is missing (c) fix wrong labels (d) test on one group only
10. 10.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) use one group only (d) add varied examples
11. 11.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
12. 12.Which of these adds to bias? (a) balance the data (b) copy old unfair choices (c) fix wrong labels (d) add varied examples
13. 13.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a fair model (d) a strong battery
14. 14.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
15. 15.True or false: “add more of the same” helps reduce bias. (a) True (b) False
16. 16.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
17. 17.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
18. 18.Which of these adds to bias? (a) use one group only (b) test on many groups (c) check who is missing (d) balance the data
19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
20. 20.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
21. 21.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
23. 23.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) ask different people (d) check who is missing
24. 24.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
26. 26.Which of these helps reduce bias? (a) ask different people (b) skip testing (c) test on one group only (d) add more of the same
27. 27.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
28. 28.True or false: “ignore complaints” adds to bias. (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) add varied examples (d) use one group only
30. 30.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
31. 31.True or false: “ask different people” helps reduce bias. (a) True (b) False
32. 32.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
33. 33.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) use one group only (d) fix wrong labels
34. 34.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
35. 35.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
36. 36.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
37. 37.True or false: “add varied examples” adds to bias. (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) ask different people (d) test on one group only
39. 39.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) check who is missing
40. 40.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias

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